regional and urban competitiveness a case study for india

63
Assessing India’s Compe00veness Regional and Urban Compe11veness: A Case Study for India Professor Amit Kapoor Honorary Chairman of Ins0tute for Compe00veness, India & Professor of Strategy & Industrial Economics at MDI, Gurgaon, India Ins1tute for Compe11veness (IFC), India is an independent, interna0onal ini0a0ve centred in India, dedicated to enlarging and dissemina0ng the body of research and knowledge on compe00on and strategy, pioneered over the last 25 years by Professor M.E. Porter of the Ins0tute for Strategy and Compe00veness, Harvard Business School (ISC, HBS), USA. IFC, India works in affilia0on with ISC, HBS, USA to offer academic & execu0ve courses, conduct indigenous research and provide advisory services to corporate and Government within the country. The ins0tute studies compe00on and its implica0ons for company strategy; the compe00veness of na0ons, regions & ci0es; suggests and provides solu0ons for social problems. IFC, India brings out India City Compe00veness Report, India State Compe00veness Report, India Economic Quarterly, Journal of Compe00veness and funds academic research in the area of strategy & compe00veness. To know more about the ins0tute write to us at [email protected] . 1

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Presentation delivered at MOC Faculty Workshop at Harvard Business School on December 11, 2012

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Page 1: Regional and urban competitiveness   a case study for india

 Assessing  India’s  Compe00veness  

 Regional  and  Urban  Compe11veness:  A  Case  Study  for  India  

 Professor  Amit  Kapoor  

Honorary  Chairman  of  Ins0tute  for  Compe00veness,  India  &    Professor  of  Strategy  &  Industrial  Economics  at  MDI,  Gurgaon,  India  

Ins1tute   for  Compe11veness   (IFC),   India   is  an   independent,   interna0onal   ini0a0ve  centred   in   India,  dedicated  to  enlarging  and  dissemina0ng  the  body  of  research   and   knowledge   on   compe00on   and   strategy,   pioneered   over   the   last   25   years   by   Professor   M.E.   Porter   of   the   Ins0tute   for   Strategy   and  Compe00veness,  Harvard  Business  School  (ISC,  HBS),  USA.    IFC,  India  works  in  affilia0on  with  ISC,  HBS,  USA  to  offer  academic  &  execu0ve  courses,  conduct  indigenous  research  and  provide  advisory  services  to  corporate  and  Government  within  the  country.  The  ins0tute  studies  compe00on  and  its  implica0ons  for  company   strategy;   the   compe00veness   of   na0ons,   regions  &   ci0es;   suggests   and   provides   solu0ons   for   social   problems.     IFC,   India   brings   out   India   City  Compe00veness  Report,  India  State  Compe00veness  Report,  India  Economic  Quarterly,  Journal  of  Compe00veness  and  funds  academic  research  in  the  area  of  strategy  &  compe00veness.  To  know  more  about  the  ins0tute  write  to  us  at  [email protected].    

1  

Page 2: Regional and urban competitiveness   a case study for india

Natural Endowments Population and GDP’s of the world

India

China USA

European Union

7%  of  the  Land  area,  5%  of  the  Popula0on,    23%  

of  the  GDP  

3%  of  the  Land  area,  7%  of  the  Popula0on,    26%  

of  the  GDP  

2%  of  the  Land  area,  17%  of  the  Popula0on,    3%  

of  the  GDP  

7%  of  the  Land  area,  20%  of  the  Popula0on,    9%  

of  the  GDP  

Page 3: Regional and urban competitiveness   a case study for india

GDP over the years

Source: WDI and Institute for Competitiveness Analysis

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

European Union India China United States Rest of the World

39%  in  2010  

23%  in  2010  

9%  in  2010  

3%  in  2010  

26%  in  2010  

Page 4: Regional and urban competitiveness   a case study for india

Ins0tute  for  Compe00veness,  India   4  

FRIDAY l DECEMBER 9 l 2011 Reflectw w w . f i n a n c i a l e x p r e s s . c o m 9

The Bharatiya Janata Par-ty’s position on reforms istakensectorbysector.Theparty looks at each sectorforitsstrengthsandweak-

nesses in terms of having to face in-ternational competition once thesector is partly or fully opened up.Importantly,theBJPwishestoensurethat lives, livelihoods or any way oflifearenotwashedoff whentheflood-gates are opened for the much-requiredinvestmentstoflowin.

Pension sector reforms started inearnest during the National Democ-ratic Alliance period, when the newpension scheme came into force onJanuary 1, 2004. Under this scheme,all employees (excluding the mili-tary) recruited since 2004 were toshift from defined benefits to a de-fined contribution regime. Earlier,in August 2003, through an executiveorder, an interim Pension Fund Reg-ulatory and Development Authoritywas set up. Its functions are ex-plained in its title. The necessary le-gal backing could not be obtaineddue to the onset of elections.

After the United Progressive Al-liancecametopower,itintroducedthePFRDA Bill in Parliament. But, notethat the Standing Committee chairedby Shri BC Khanduri had studied theBill in great detail and submitted itsreportin2005,interaliaapprovingthenew scheme introduced by the NDA.Again, due to the general elections in2009, theBillcouldn’tgetpassed.

UPA-II tabled the Bill yet again.AndafterconsiderationbytheStand-ing Committee, this time chaired byShri Yashwant Sinha, a consensuswas reached. However, the govern-ment appears to disagree with twokey recommendations made by theCommittee. The BJP considers thosetwo recommendations as critical to

the sector because of their long-term implications. They are: (a) aminimum assured return on invest-ment, for example, comparable tothe Employee Provident Fund Or-ganisation interest rate, and (b) fix-ing a cap on foreign investment; thatis, foreign direct investment inpension funds should not exceed26%. We want these conditions tobe part of the Bill so that if anygovernment wants to change them,it will have to come back to getParliament’s mandate.

While the BJP is working consis-tently and continuously on sectoralreforms with an understanding ofpeople’s aspirations and well-being,thegovernment’sapproachcontinuesto be tardy and patchy. A glaring in-stance of the government’s laid-backapproachtoreformBillswasalsoseen

when the PFRDA Bill was introducedin the Lok Sabha in March 2011. Asizeable number of the CongressParty’s own members were absent.But for the BJP fully backing thegovernment, they would have facedembarrassment.

Theimportanceof thepensionsec-tor cannot be overstated in a countrythat has one-eighth the elderly popu-lation of the world. Only 12% of ourworkforce is in the organised sector.Managing their retirement assets isbig business. The BJP is keen andhopeful that the advisory committeeenvisagedintheBill, consisting of allstakeholders, should ensure that themanagement of the pension funds islabour-friendly.

The author is nationalspokesperson,Bharatiya

Janata Party

Roughly 20m persons havejoined the ranks of the el-derly over the last decade.Add another 50m to this by2021.Sincemostsuchwork-

ers may have barely enough savings tosupport their consumption for even afew months after their incomes dry up,and also as they are largely excludedfromexistingpensionprogrammes,theprimary retirement plan for most Indi-anscanonlybetoworktilltheydie.

Yet, pension reforms don’t appearurgent as we stand on the verge of al-lowing yet another year slip by on thePFRDA legislation. With the benefit ofhindsight,weshouldknowalreadythatexisting pension programmes can’twork for most of India—apart from be-ing fiscally unsustainable, the existingEPFO/EPShaslimitedcoverageandof-fersmeagrepensioncover.

But,sevenyearsafterNPSwasman-dated for new government employees,little progress has been made on thePFRDA legislation. At the heart of thepoliticalinertiaaretheself-styledadvo-cates of people who are still strugglingto accept the urgency of pension re-form,especiallyforthepopulationtheyrepresent—oursurveysshowthereisavery large latent demand for a broad-based pension programme among avery large number of Indians who areinterestedinsavingfortheiroldage.

In 2004, it was desirable to have es-tablishedastatutoryregulatorforNPS.By 2011, this has become an urgent ne-cessityasnearly30lakhindividualsarealready covered by a pension systemthatpresentlyreliesoncivilcourtsandtheContractActtoenforcecompliance,instead of achieving this throughregulationsandpenalties.

Ironically, while successive debatesaround the PFRDA legislation havecentered around customer protection,theyhavemanagedtoonlydeferappro-priate safeguards through legislationfor the people who have already joinedthis scheme. In this context, concernsrelated to FDI limits, administered re-turnsandequityinvestmentsareeitherirrelevant,ill-conceivedorunfounded.

The core NPS architecture is de-signed specifically to protect sub-scriber interests over multiple-decadehorizons. For example, pension fundmanagers,whetherdomesticorglobal,cannot derive anything more than theasset management fee that they pre-commitformanagementof NPSassets.DuetotheNPStruststructure,savingsof NPSsubscriberscanneverreflectonthebooksof afundmanageroranyoth-er intermediary. Importantly, NPS cus-tomers are not forced to invest their re-tirement savings into equities and arefree to put all their money into govern-mentbondsif theywish.Butthemajor-ity of the working poor, who are a keytargetaudienceforNPS,areunlikelytoescape old age poverty unless they in-vest at least a part of their modest sav-ingsintoequities.Inthissituation,andespecially in the context of unpre-dictableinflationlevels,benchmarkingNPS returns to the EPF may only pro-ducesub-optimalinvestmentoutcomesand inadequate retirement incomes.There is an essential role for an inten-siveretirement-literacyeffortandforastrongregulatortopreventmalpracticeand to infuse confidence among exist-ing and future customers. Both Sebiand Irda have done this in their sectorsand we should urgently achieve a simi-lar outcome in the pension sector. Thepeople we’re all debating about simplycan’taffordanyfurtherdelay.

The author is director ofInvest India Micro Pension Services

NIRMALA SITHARAMAN

THE TWO POINTS THE BJPWANTS IN THE PFRDA BILL—AMINIMUM ASSURED RETURNON INVESTMENT, AND AN FDI

CAP OF 26% IN PENSIONFUNDS—ARE CRITICAL IF WE

WANT TO SAFEGUARDWORKER INTERESTS

Post-retirement bluesThe PFRDA Bill—critical if millions of Indians are to get old-age security under the new pension scheme—is held hostage inParliament, with the BJP and Mamata Banerjee ranged against it on issues of assured returns and foreign investment caps

IdeascaFE

India and China are the future driversof the world economy, though the twoeconomies look very different interms of their development patterns

and economic structure. China hasemerged as the manufacturing power-houseinthelast20yearswhileIndiahasbe-come the major player in services.

China’s share in world manufacturinghas witnessed tremendous elevation from2.9%in1991to13.7%in2011.Theincrementin the Chinese economy’s contribution toworld manufacturing has come at the costof the European Union, whose share haddeclinedto20.9%in2010from33%in1991.Itbecomes much more pronounced when welook at the fact that per capita manufactur-ing GDP of China has increased by 8 timescompared to 1991, reaching $806 in 2010while India’s is just $122 (see figure). Theshare of India in world manufacturing is amere 1.8% and has increased by just 1%over the past 20 years.

At the same time, the US contributionhasremainednearlystagnant,whichisduetotheirspecialisationincapitalgoodsman-ufacturing, while Chinese manufacturingis dominated by consumer goods. Chinamay have succeeded in capturing a biggerchunk of world manufacturing, but its percapitamanufacturingGDPisstillfarbelowthat of the US, which was $6,147 as of 2010.

India’s growth is presumed to be drivenby the services sector, which contributes amaximum 65.2% to its GDP. However, therole of manufacturing in India’s develop-ment can’t be discounted considering thefact that it contributed 16% to the country’stotalGDPin2010.Totalworkforceemployedin the manufacturing sector is estimated tobe more than 40 million, which amounts to9%of thetotalworkingpopulationof India.It is interesting to note that the share ofmanufacturing to GDP in India hasn’tchanged much over the past 20 years, due toboththeincreaseintheshareof theservicessector and the decrease in the share of agri-culture, which has declined to just 14.6% in2010from31.4%in1991.Indiahasmorethan142,000 factories operating in the manufac-turing sector and needs to redefine its man-ufacturing strategy to drive its futuregrowthandtocreatemoreemployment.

Manufacturing growth has a multipliereffect on the economy. The development ofmany other dependent sectors, like logis-tics, insurance and raw-material produc-tion, is driven by the growth of manufac-turing as it is one of the biggest consumersforthesesectors. InstateslikeGoa,Gujarat

and Jharkhand, manufacturing con-tributes nearly 27% of the total GDP, whichmakes it extremely important for thesestates to focus on developing policies to fos-ter the development of this sector. It is in-teresting to note that the manufacturingsector in Orissa and Chhattisgarh hasgrown by more than 16% against India’soverallmanufacturinggrowthrateof 9.3%over the past five years, and it is driving thefuture growth of these states (see figure).

The two states of Maharashtra and Gu-jarat together form 34% of the total grossoutput of India’s manufacturing sector,which makes them the manufacturing gi-ants of the country. It is very important to

map the manufacturing sector’s perfor-mance at both the state and firm levels toimprove overall manufacturing competi-tivenessinIndia.Atthestatelevel,theman-ufacturing sectors of Uttar Pradesh, WestBengal and Kerala are found to be the leastproductive, having a ratio of total out-puts/inputs of nearly 1.2 and requiring ur-gent attention from the government. Thefirms in Himachal Pradesh and Uttarak-hand have the highest labour productivity,where the net value added by employees onanaverageismorethanR1lakh(seefigure).In states like Bihar, firms are found to bevery efficient in using their capital and areproducinggrossoutputthatismorethan10

times their fixed investments.Today, manufacturing in India requires

urgent attention from policymakers, to ad-dress the challenges at both the macro andmicro levels. There is a need to reduce thetax burden to improve profitability, and toprovide for the upgradation of workers’skills and technology. Costs of productionhavereachedextremelyhighlevelsbecauseof rising land prices; this needs to bechecked.Highpowercosts,lowerefficiencyanddecliningavailabilityof qualitylabourarealsoaffectingcompetitiveness.Thegov-ernment should adopt a cluster-based de-velopment strategy to push high growth inthe manufacturing sector. It needs to devel-

op a strategic policy framework to identifyand develop innovative clusters that have agreat potential in exports and can generatemore employment. There is a need todevelop investment mechanisms to fosterpublic-privatepartnershipsthatcaninvestin sick clusters and focus on improving thelatter’s productivity.

There is a need for state-specific ap-proaches. After all, each state is at a differ-ent stage of development in the manufac-turing industry and, therefore, needsdifferentstrategiestoimproveitsmanufac-turing competitiveness.! Strong manufacturing states (Gujarat,Maharashtra, Tamil Nadu, Karnataka,Andhra Pradesh, Goa, Haryana and Jhark-hand) need an innovation-driven strategy.These states need to move towards moretechnological advancement to improvetheir production efficiency. These statesshould invest in developing advanced skill-sets for manufacturing and become moreexport competitive.! Weaker manufacturing states (Tripura,Sikkim, Nagaland, Kerala, Jammu andKashmir, Delhi, Bihar, Assam, and West-Bengal)needaninvestments-drivenstrate-gy. They need to give more incentives to in-dustry in terms of taxes, power costs andlogistics, and try to facilitate more privateinvestments in the sector.!Medium manufacturing states (Chhattis-garh,HimachalPradesh,MadhyaPradesh,Orissa, Punjab, Rajasthan, Uttar Pradeshand Uttarakhand) need a factors-drivenstrategy. These states need to focus in low-ering the costs of inputs of production, de-veloping the right set of skills and talent,and removing the barriers to doing busi-ness. These states should initiate public-private partnership mechanisms to attractinvestments and improve productivity.

Before devising policies for cluster devel-opment, it should be understood that manu-facturingclustersneedtobemoreintegratedand deeper than service clusters. How clus-ters that are not export-oriented fit into theglobal value chain of manufacturing needstobeanalysed.Indiahasabigpotentialof be-coming a good manufacturing-outsourcingbase for manufacturing clusters due to thepresenceof rawmaterialsandcheaplabour.But our clusters will need more marketingand brand-building assistance to improvetheir export competitiveness against thelikes of China. Indian manufacturing play-ersneedtopitchupproductqualityforwest-ern markets rather than focusing too muchonpricecompetitionfromChina.

Amit Kapoor is honorary chairman,Institute for Competitiveness, India,

and Anshul Pachouri is seniorresearcher at the institute

Decoding manufacturing competitivenessIndia needs state-specific approaches to consolidate and attract investment

GAUTAM BHARDWAJ

EPS/EPFO-TYPE ASSUREDRETURNS ARE UNVIABLE—THE EPS HOLE IS R50,000 CRALREADY. MANDATINGTHIS MAKES NPS ANON-STARTER AND HURTSMILLIONS WHO NEED NPSCOVER FOR THEIR OLD AGE

AMIT KAPOOR &ANSHUL PACHOURI

The  State  of  Manufacturing  in  India  

Page 5: Regional and urban competitiveness   a case study for india

Agriculture and Allied

Industry

Manufacturing

Services

Construction Transport, Storage & Communication

Finance, Business & Real Estate Services

Community and Personal Services

-10

-8

-6

-4

-2

0

2

4

6

8

10

-10 0 10 20 30 40 50 60

% C

hang

e in

the

Con

tribu

tion

to G

DP

(199

4-20

00)

Percentage Contribution in GDP (2000)

Structural shift in Indian Economy (1994-2000)

Ins0tute  for  compe00veness  Analysis  

Page 6: Regional and urban competitiveness   a case study for india

Agriculture and Allied

Industry

Manufacturing

Electricity, Gas and Water Supply

Services

Construction Transport, Storage & Communication Finance, Business & Real Estate Services

Community and Personal Services

-15

-10

-5

0

5

10

15

-10 0 10 20 30 40 50 60 70

% c

hang

e in

con

tribu

tion

2000

-201

0)

Percenatge Contribution in GDP (2010)

Structural shift in Indian Economy (2000-2010)

Ins0tute  for  compe00veness  Analysis  

Page 7: Regional and urban competitiveness   a case study for india

Geographic  Influence  on  Compe00veness  

World  Economy  

Broad  Economic  Areas  

Group  of  Neighboring  Na0ons    

Na0on  

State,  Provinces  

Metropolitan  Areas  

Rural  Areas  

7  Ins0tute  for  Compe00veness,  India  

The  business  environment  at  a  given  loca0on  is  the  cumula0ve  outcome  of  policy  at  all  levels  of  geography  Microeconomic  Compe00veness  raises  the  importance  of  lower  levels  of  geography  The  alloca1on  of  responsibili1es  across  levels  of  geography  is  a  crucial  policy  challenge  

Page 8: Regional and urban competitiveness   a case study for india

The  Research  

Ins0tute  for  Compe00veness,  India   8  

Compe00veness  Assessment  

States  

State  Compe00veness  

Report  

Sustainable  Compe00veness  

Report  

Ci0es  

City  Compe00veness  

Report  Liveability  Index   Open  Ci0es  

Index  

Districts  

District  Compe00veness  

Parliamentary  Cons0tuency  

Compe00veness  

Page 9: Regional and urban competitiveness   a case study for india

Ranking  Compe00veness  

•  Model  looks  at  explaining  SGDP  per  capita  that  is  by  far  the  best  measure  of  prosperity  

•  The  model  is  inspired  by  World  Economic  Forums  –  Global  Compe00veness  Index  developed  by  Professor  Michael  Porter  

•  Innova0ve  framework  that  is  embedded  in  theory  •  Extensive  use  of  hard  data  to  reflect  on  performance  of  states  and  reduce  

sampling  errors  and  personal  biases  •  Selec0on  of  indicators  is  based  on  theory  and  are  grouped  in  way  that  inform  

overall  policy  for  corporate  to  take  informed  decisions  while  establishing  strong  framework  for  assessing  policies  at  various  levels  

•  Calibrated  weights  are  applied  to  the  set  of  indicator  values  to  generate  an  overall  Index  score  

•  PCA  is  used  to  defining  weights  for  the  indicators  so  as  to  take  care  of  mul0collinearity  

•  Log  data  is  used  at  0mes  so  that  undue  advantage  is  not  given  to  size  of  popula0on  et  al  

9  Ins0tute  for  Compe00veness,  India  

Page 10: Regional and urban competitiveness   a case study for india

What  we  present  

•  An  integrated  index  grounded  in  academic  research  and  measured  through  hard  data  

•  Concentrate  our  work  on  understanding  determinants  of  produc0vity  that  a  state  economy  can  sustain  

•  Provide  insights  for  firms  and  policy  makers  •  Present  ideas  and  evidence  on  how  business  environment  has  an  impact  

on  produc0vity  of  companies  •  Capturing  basic  insights  about  state,  city,  district  performance  and  help  

organiza0ons  make  loca0on  decisions  

10  Ins0tute  for  Compe00veness,  India  

Page 11: Regional and urban competitiveness   a case study for india

Microeconomic  Compe00veness:  The  Diamond    (Understanding  Business  Environment)  

11  Ins0tute  for  Compe00veness,  India  

Context  for  Firm  Strategy  and  Rivalry  

Related  and  Suppor0ng  Industries  

Factor  Condi0ons    

Demand  Condi0ons    

Local  rules  and  incen1ves  that  encourage  investment  and  produc0vity  e.g.  salaries,  incen0ves  for  capital  investments,  intellectual  property  protec0on  Vigorous  local  compe11on  i.e.,  openness  to  foreign  and  local  compe00on;  sophis0ca0on  of  company  opera0ons  

Availability  of  suppliers  and  suppor1ng  industries  Presence  of  clusters  instead  of  isolated  firms  

Sophis0ca0on  of  local  customers  and  needs  i.e.,  strict  quality,  safety,  and  environment  standards  

Access  to  high  quality  business  inputs  i.e.,  natural  endowments,  human  resources,  capital  availability,  physical  infrastructure,  administra0ve  infrastructure,  informa0on  infrastructure,  scien0fic  and  technological  infrastructure  

Successful  economic  development  is  a  process  of  successive  upgrading,  in  which  the  business  environment  improves  to  enable  increasingly  sophis0cated  ways  of  compe0ng  

Page 12: Regional and urban competitiveness   a case study for india
Page 13: Regional and urban competitiveness   a case study for india

Near  Term  State  Prosperity  Performance  

Highly  Produc0ve  and  Prosperity  Rising  versus  India  

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir   Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

0   2   4   6   8   10   12   14   16  

Gross  Domes1c  Product  per  Capita  CAGR  rate,  2008-­‐2010  

High  but  declining  versus  India    

Low  and  declining  versus  India     Low  but  rising  versus  India    

High  and  rising  versus  India    

All  

India  

Avera

ge  

57.28  

Inde

x  Po

ints  

All  India  GSDP  /Capita  rate  (CAGR)  of  8.36  %  

All  India  Average  of  46,836  Rupees/capita  

Gross  Dom

es1c  Produ

ct  per  Cap

ita,  201

0  

Page 14: Regional and urban competitiveness   a case study for india

Composi0on  of  Haryana’s  Economy  in  Greater  Depth  

Agricuture    

 Forestry  and  logging  

Fishing    

Mining  and  quarrying  

 Manufacturing    Electricity,  gas  and  water  supply  

 Construc0on    

 Trade,  hotel  and  restaurant    

Railways    

 Transport  by  other  means    

Storage  

Communica0on    

Banking  and  insurance    

Real  states,  ownership  of  dwellings  and  business  services  

Public  sdministra0on  and  defence    

Other  services    

-­‐1  

0  

1  

2  

3  

4  

5  

6  

7  

8  

0   5   10   15   20   25   30  

Haryan

a  /N

a1on

al  GSD

P  share  (Percent)  ,20

10  

Average  of  Change  in  contribu0on  of  (Haryana  /Na0onal  sectoral),  CAGR  is  15.26%    

Strong  and  Growing  Posi0on    

Change  in  contribu1on  of  GSDP  of  Haryana  to  total  Indian  GSDP,  CAGR  (2000-­‐2010)  

Average  of  (Haryana/  Na0onal  sectoral  )GSDP  share  is  3.5%  

Page 15: Regional and urban competitiveness   a case study for india

State  Private  Sector  Wage  Performance  

Jammu  &  Kashmir  

Himachal  Pradesh  

Punjub  

Unaranchal  

Haryana  

Delhi  

Rajasthan  

Unar  Pradesh  

Bihar  

Nagaland  

Manipur  

Tripura  

Meghalaya  

Assam  

West  Bengal  

Jharkhand  

Orissa  

Chalsgarh   Madhya  Pradesh  Gujarat  

Maharashtra  

Andhra  Pradesh  

Karnataka  

Goa  

Kerala   Tamil  Nadu  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

160000  

0   2   4   6   8   10   12   14  Wage  Growth  (CAGR),  2001  to  2008  

Low  and  declining  versus  India     Low  but  rising  versus  India    

Average  Wage  :  Rupees  64,741  

Wage  Growth  rate  4.53%  

Highly  and  rising  wages  rela0ve  to    India  

High  but  declining  versus  India    

Average  Wages  in  Rup

ees  ,2008  

Page 16: Regional and urban competitiveness   a case study for india

Long  Term  State  Labour  Produc0vity  

Jammu  &  Kashmir  

Himachal  Pradesh  

Punjab  

Haryana  

Unar  Pradesh  

Rajasthan  

Delhi  

Unarakhand  

Bihar  

Orissa  West  Bengal  

Assam  

Meghalaya  Tripura  

Mizoram  

Manipur  

Nagaland  

Arunachal  Pradesh  

Sikkim  

Jharkhand  

Gujarat  

Maharashtra  

Goa  

Madhya  Pradesh  

Chhalsgarh  

Andhra  Pradesh  

Karnataka  

Kerala  

Tamil  Nadu  

0  

50000  

100000  

150000  

200000  

250000  

300000  

350000  

400000  

0   2   4   6   8   10   12   14   16   18   20  

GSDP  /Labor  force  par1cipant  growth  rate(CAGR)  

High  but  declining  versus  India  

Low  and  declining  versus  India  

All  India  Average  of  of  1,18,112  Rupees/Labour  force  par0cipant  

All  India  Average  of    11.37  %  

Highly  produc0ve  and  Produc0vity  rising  versus  India  

Low  and  rising  versus  India  

GSD

P  at  Current  Pric

es  per  labo

ur  fo

rce  pa

r1cipa

nt,201

0    

Page 17: Regional and urban competitiveness   a case study for india

Short  Term  State  Labour  Produc0vity  

Jammu  &  Kashmir  

Himachal  Pradesh   Punjab  

Haryana  

Unar  Pradesh  

Rajasthan  

Delhi  

Unarakhand  

Bihar  

Orissa  West  Bengal  

Assam  Meghalaya  

Tripura   Mizoram  

Manipur  

Nagaland  

Arunachal  Pradesh  

Sikkim  

Jharkhand  

Gujarat  

Maharashtra  

Goa  

Madhya  Pradesh  

Chhalsgarh  

Andhra  Pradesh  Karnataka  

Kerala  

Tamil  Nadu  

0  

50000  

100000  

150000  

200000  

250000  

300000  

350000  

400000  

0   5   10   15   20   25   30  

GSDP  /Labor  force  par1cipant  growth  rate(CAGR)  

Low  but  rising  versus  India    

All  India  Average  57.28  Index  Points  

All  India  Average  of    15.11%  

All  India  Average  of  of  1,18,112  Rupees/Labour  force  par0cipant  

Highly  produc0ve  and  Produc0vity  rising  versus  India  

High  but  declining  versus  India  

Low  and  declining  versus  India    

GSD

P  at  Current  Pric

es  per  labo

ur  fo

rce  pa

r1cipa

nt,201

0    

Page 18: Regional and urban competitiveness   a case study for india

Long  Term  State  Job  Growth  

Jammu  &  Kashmir  Himachal  Pradesh  

Punjab  Haryana  

Unar  Pradesh  

Rajasthan  

Delhi  

Unarakhand  

Bihar  

Orissa  

West  Bengal  

Assam  

Meghalaya  Tripura   Mizoram   Manipur  Nagaland   Arunachal  Pradesh  

Sikkim  

Jharkhand  

Gujarat  

Maharashtra  

Goa  

Madhya  Pradesh  

Chhalsgarh  

Andhra  Pradesh  

Karnataka  

Kerala  

Tamil  Nadu  

0  

10000000  

20000000  

30000000  

40000000  

50000000  

60000000  

70000000  

80000000  

90000000  

0   0.5   1   1.5   2   2.5   3   3.5  

Job  growth  rate  CAGR,  2001-­‐2010  

All  India  average  of  1,62,99,464  Jobs  /State  

All  India  Average  57.28  Index  Points  

All  India  Average  of    2.05%    

Gaining  Jobs  Losing  Jobs  

Num

ber  o

f  Job

s,  2010  

Page 19: Regional and urban competitiveness   a case study for india

Near  Term  Unemployment  Rate    

Andhra  Pradesh  Arunachal  Pradesh  

Assam  

Bihar  

Chalsgarh  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  Jammu  

jharkhand  

Karnataka  

kerala  

Madhya  Pradesh    

Maharashtra    

Manipur  

Meghalaya  

Mizoram   Nagaland  

Delhi  

Orissa  Punjab  

Rajasthan  

Sikkim  Tamil  Nadu  

Tripura  Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

5  

10  

15  

20  

25  

30  

-­‐30   -­‐25   -­‐20   -­‐15   -­‐10   -­‐5   0   5   10  Change  in  Employment  rate  2008  to  2010    

All  India  Average  of  9.39%  

All  

India  

Avera

ge  

57.28  

Inde

x  Po

ints  

All  India  Average  of    -­‐6.55%  

Below  average  Unemployment  

Unemployment  Rising  

Above  Average  Unemployment  

Une

mploymen

t  rate  2010  

Page 20: Regional and urban competitiveness   a case study for india

Healthcare    

Andhra  Pradesh  

Arunachal  Pradesh   Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  Manipur  

Meghalaya  

Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  Tripura  

Unar  Pradesh  

Unarakhand  West  Bengal  

0  

1  

2  

3  

4  

5  

6  

7  

8  

9  

0   1000   2000   3000   4000   5000   6000  

Total  Government  Expenditure  on  Medical,  Health  and  Sanita1on  in  Crores    

All  India  Average  3.95%    

All  India  

All  India  Average  1407.59  Crores  

Percen

tage  of  T

otal  governm

ent  E

xpen

diture  on  Med

ical,  H

ealth

   an

d  Sanita1o

n  

Page 21: Regional and urban competitiveness   a case study for india
Page 22: Regional and urban competitiveness   a case study for india
Page 23: Regional and urban competitiveness   a case study for india

Debt  to  GDP  ra0o    

0   20   40   60   80   100   120  

Andhra  

Assam  

Chalsgarh  

Goa  

Haryana  

Jammu  &  Kashmir  

Karnataka  

Madhya  Pradesh  

Manipur  

Mizoram  

Orissa  

Rajasthan  

Tamil  Nadu  

Unar  Pradesh  

West  Bengal  

30.1  115.9  

28  39.7  

15.2  13.8  

35.5  32.1  

19  55.7  

70.1  33.6  

24.3  34.3  34.4  

25.1  77.4  

37.3  109.1  

59.4  30.6  

35.2  41.1  

80.6  25.5  

42.2  43.5  

41.1  42.8  

Debt  to  GDP  Ra1o  of  States  

Prescribed  limit  according  to  WTO  for  developing  

economies  

Prescribed  limit  according  to  the  growth  and  stability  Pact  of  EU  

Page 24: Regional and urban competitiveness   a case study for india

Ins0tute  for  Compe00veness,  India   24  

11!WWW.ECONOMICTIMES.COM

Policy

MYTHILI BHUSNURMATHThe world economy may not be outof the woods yet after the havocwrought by the financial excessesof the last decade, but the reality isthere is no turning the clock backon financial liberalisation.

However, received wisdom evenin the West has veered away froman effusive espousal of financialopenness and capital mobility to amore nuanced view; one that disti-nguishes between good and bad fi-nancial liberalisation. The formeris now seen as beneficial for econo-mic growth while the latter couldbring more grief than benefits.

The good thing about this new in-sight is that a great deal of the rece-nt research now focuses on identi-fying types of financial integra-tion; distinguishing between thosethat enhance economic growthand those that are destabilisingand harmful. In contrast, most ofthe previous empirical work failedto pay sufficient attention to thedifferential effects of differenttypes of capital flows.

Needless to say, economists differwidely in their analysis of the im-pact of financial liberalisation ongrowth. Some point to the dangersof asset price overshooting as a re-sult of excessive foreign investordemand for emerging markets’stocks, bonds, real estate and otherfinancial assets. Others argue thatsurges in capital inflows raise fin-ancial and macroeconomic risk asincreased private capital inflows,especially in the form of debt, leadto lending boom-and-bust cycles.

Reinhart and Reinhart find a rob-ust empirical association betweensurges in financial capital inflowsand banking crises, while Cowanand Raddatz find that industriesthat are more dependent on exter-nal finance decline significantlymore during a sudden stop, espe-cially in less developed countries.

A recent NBER paper adds to thisgrowing literature by examiningthe differential impact of threebroad types of financial capital in-flows — portfolio debt, portfolio eq-uity and foreign direct investment— on the growth of manufacturingindustry in a large sample of coun-tries: 37 industries in 99 countriesfrom 1991 to 2007. It uses both cross-country and within-country dataand evaluates whether and howeach type of financial capital in-flows affects the development ofindustrial sectors that are most inneed of external finance.

Not surprisingly, it finds portfo-lio inflows — both debt and equity— have a mixed association withgrowth, and tend to be associatedwith negative growth effects forlarge surges. FDI is the most stableof the three broad types of privatecapital inflows as well as the onlyone with a statistically significant-ly positive correlation with manu-facturing sector growth. FDI in-flows exhibit a positive associationwith aggregate manufacturing gr-owth during most of the sample pe-riod, with the volumes of inflowsinto individual countries such thata significant positive economic im-pact is observed in all selected

countries both at the aggregate lev-el and specifically for industries inneed of external financing.

But FDI might not be an unmiti-gated blessing. In line with exist-ing empirical literature, the paperfinds a negative association betwe-en FDI and growth following pro-longed periods of steady FDI in-flows into a country. The authorssurmise this may be due to the waythese inflows interact with exter-nal financing needs of industries.For instance, ‘green’ FDI (new FDI)may compete for external financ-ing with domestic firms and, par-ticularly in the case of emergingmarkets, may crowd incumbentfirms out of local bank lending.

Extending theanalysis over timeto externally fina-ncially-dependentindustries, the pa-per finds there arefrequent oscillati-ons between debt,equity and directinvestment finan-cing. This is pos-sibly because ofherding from one

type of financing to another as‘bottlenecks’ are repeatedly form-ed when one source takes too muchprecedence over the other.

In sum, the paper concludes unre-gulated financial flows have a mix-ed effect on the overall performan-ce of the real sectors in emergingmarkets. In essence, therefore, wh-ile the merits of openness are un-disputed, it is for each country tochart its own course, depending onits macroeconomic fundamentalsand political economy considera-tions. The days of rocket scientistsand neat answers are over. Amen!(Capital Flow Types, External Financ-ing Needs and Industrial Growth,June 2011, NBER Working Paper, Josh-ua Aizenman and Vladyslav Sushko)

Grey Matter | Research Explained

No Broad Brushfor Capital InflowsNot all capital flows are necessarily beneficial

AMIT KAPOOR

The current EU economic crisis hasraised concerns over high sovere-ign debt and its harmful effect on

economies that has left Greece and Portu-gal in crises. The theory of debt says thatonce external debt becomes very large,economies are unable to generate pri-mary balance to repay the debt, causingcurrency deflation and adverse shocks.In light of the global impact of debt, wetry to discern the state of affairs in India.

India has to pay external debt of $305.9billion that accounts for 17.3% of GDPand 10.3% of total public debt on India asof March 31, 2011. The gross public debton India is more than 70% of GDP, as perIMF, in the year ending 2011. The coun-try’s external debt has grown at the rateof 12.3% annually during 2006-11 whilethe economy has grown at an annualgrowth rate of just 7.3%, which is alarm-ing and will leave future generations un-der higher debt burden. This month, theInstitute for Competitiveness’ state per-formance barometer looks at the condi-tion of debt across the states and assessestheir position in managing their financeslooking through the lens of fiscal deficit,debt-to-GDP and interest payment sharein revenue receipts of the government." Higher fiscal deficit makes debt bubblelarger and compromises with growth: Ut-tar Pradesh has very high fiscal deficit of24% of revenues that demands for moreborrowing from the markets, and thedebt burden has reached .̀ 2,34,581 crorein 2011, as per RBI. The debt on Uttar Pra-desh alone constitutes 12.9% of the out-standing liabilities of all state govern-ments and the debt-to-GDP ratio hasreached 45.8 in 2011. The high debt leavesthe government no option but cutting ex-penditure, decreasing subsidies and rais-ing taxes in the economy, which also incr-eases inflation and slows real growthrate. These fiscal irregularities are resp-onsible for slower growth of the state thatis just 5.5% annually in the last five yearsagainst overall India growth rate of 7.3%.

Mizoram and Sikkim have very highdebt-to-GDP ratio of 98.1 and 82.2, respec-tively, and are on the verge of touchingthe level of debt-to-GDP of Ireland (101.6)and Belgium (103.1) in the EU, which isnot appreciable for financial stability.The debt-to-GDP ratio of above 60 is con-sidered dangerous both for developingand emerging economies. Such a highdebt increases the risk of financial andeconomic turmoil and EU has put themandatory condition of debt-to-GDP lessthan 60 for any nation to become the part

of the European Central Bank and EU." Robust GDP growth in states makesdebt sustainable: Orissa experienced tre-mendous growth rate of nearly 10.02% inthe past five years, enabling the state tobring the debt-to-GDP ratio from nearly60% in 2005-06 to its half in 2010 with thedeclining rate of above 12% annually(graph 1). The higher growth rate genera-tes more economic activity that eventual-ly increases the revenue receipts of thegovernment from which it is able to repaythe interest and principal amount of thedebt. Thus, the strategy for states shouldbe to achieve higher growth rate. " Higher interest payment share in reve-nues of state governments raises fear of fi-

nancial crises: The total outstanding lia-bilities of West Bengal are nearly .̀ 2 lakhcrorein 2011, as per RBI, for which inter-est payments accounts for nearly 60% ofgovernment revenues, which means thatafter paying interest on debt, West Ben-gal will face a huge cash crunch. The in-terest payment share in revenue receiptsof West Bengal has grown by 7.76% annu-ally while the GDP has grown at the rateof just 6.02% for 2006-11. Fear of financialcrisis, thus, faces West Bengal (graph 2).

High interest payments make the finan-cial system unstable, represent poor fina-ncial health, restrict public expenditureand investments in economic activitiesand puts the state on a slower growth

track. We need more fiscal reforms andproper credit rating for states to assesstheir repaying capacity. The rating sho-uld consider government debt, fiscal defi-cit, gross savings, demand, economicgrowth of all primary, secondary and ter-tiary sectors, and previous debt historyto assess the condition and avoid the sit-uation of excessive debt.

The states need to follow different strat-egies to tackle their financial conditionto achieve higher growth and reduce debtburden. On the basis of debt and growthto be followed, states can be classified in-to four categories (see graph) and suggesteconomic strategy they need to follow.(The author is with Institute for Competitiveness)

Escape From Certain DebtFor states, different levels of debt and growth call for different strategies for long-term sustainability

Investment Strategy (Highgrowth, low-debt states)Need to invest in developingmore advanced factorconditions such as humancapital, physical communicationand administrative support togenerate better economicoutput and become self-sustainable over thecoming years.

Andhra Pradesh (AN), Bihar (BH),Chhattisgarh (CH), Delhi (DL),Gujarat (GJ), Haryana (HR),Jharkhand JH), Kerala (KE), Orissa (OR) and Rajasthan (RJ)

Industrial Development Strategy(Low growth, high-debt states)Need to bring a revolution in theirdevelopment by identifying anddeveloping the industrial clustersthat have the potential ofgenerating more economic valueand employment. Investment bythe government has to be moreresponsible and effective.

Himachal Pradesh (HP), Jammu &Kashmir (JK), Manipur (MN),Mizoram (MZ), Nagaland (NA),Punjab (PB), Sikkim (SK), Tamil Nadu(TN), Tripura (TR), Uttar Pradesh(UP) and West Bengal (WB)

InfrastructureDevelopment Strategy(High growth, high-debt states)Need to developadvance infrastructurefor industries such astourism to increaserevenues that help inrepaying debt astourism is the maindriving factor for theirregional economicgrowth.

Arunachal Pradesh (AP)and Uttaranchal (UK)

Restructuring Strategy (Lowgrowth, low-debt states)Need to invest and givemore loans to the industrialsector for their expansion,which increase theeconomic output and help inlashing the growth. Thesestates need to restructuretheir systems and makethem more effective inpolicy implementation.

Assam (AS), Goa (GO),Karnataka (KA), MadhyaPradesh (MP), Maharashtra(MH) and Meghalaya (ME)

Debt and Growth: The Road Ahead for States

GDP growth rate (CAGR)

Inte

rest

pa

ym

en

t/R

ev

en

ue

s re

ceip

ts g

row

th r

ate

(C

AG

R)

70

60

50

40

30

20

10

0

-10

2 4 6 8 10 12 14

BH

CHOR

DL

GJ

JH

ME

AS

HP

MP

UPGO

TNWB

PB

RJKA

MH

SK

AP

NA

MZ

MNTR

JK

KE

UK

AN

HR

De

bt-

to-G

DP

gro

wth

ra

te (

CA

GR

)

GDP growth rate (CAGR)

15

10

5

0

-5

-10

-15

2 4 6 8 10 12 14

BH

CH

OR

HR

DL

GJ

PB

APSK

NA

JK MZ

MPTR

MN

AS

WB

TN

MEKAKA

ANJH

RJ

MH

UP

HP

GO

UK

KE

C KRISHNA KUMAR

On May 10, 2010, the UN General Assemb-ly proclaimed 2011-20 as the Decade of Ac-tion for Road Safety. The resolution ackn-owledges nine international regional mi-nisterial declarations/expert group rec-ommendations and recognises the Glob-al Status Report on Road Safety: Time forAction publication by the WHO. The datacontained in this report is alarming andcalls for urgent remedial measures.

Death and injuries on the road do not,unfortunately, ignite the shock and reac-tion that one jet crash causes. They aretreated as lifeless statistics. But the num-bers are staggering. Over 1.2 million peo-ple die each year on the world’s roads, and20-50 million suffer non-fatal injuries.And over 90% of the world’s fatalities onthe roads occur in low-income and mid-dle-income countries, which have only48% of the world’s vehicles. Almost halfof those who die in road traffic crashesare pedestrians, cyclists or users of mo-

torised two wheelers — collectivelyknown as vulnerable road users — andthis proportion is higher in poorer econo-mies of the world. The cost of road trafficinjuries is $518 billion each year.

Indian official statistics lack credibilityas there is no organised method of collec-tion and reporting of data. The number ofpersons killed from road accidents is1,25,660 for 2009, as per the ministry ofroad transport and highways’ report. It isbelieved that the yet-to-be-confirmed fig-ure for 2010 is 1,60,000. This jump may notbe due to actual rise but also may be re-flecting improved data management. TheWHO report does a statistical correctionto compensate for weak vital registrationsystems — completeness less than 85% orwith more than 30% of deaths undefined.The modelled data avoids definition-re-lated bias while calculating death rates.The actual number of deaths reported byIndia for 2006 was 1,05,725, but the model-led number came to 1,96,445 with a rangeof 1,55,270 to 2,66,999.

In fact, Delhiites need to worry. Delhiroads consistently kill more people: 22%of all deaths reported for 23 large citiesand towns. As per official figures for 2009,the national capital witnessed 2,325deaths on the roads, followed by Bengalu-ru (742), Mumbai (628) and Chennai (618).Few urban centres have recorded reduc-tion in accidents and deaths. Nobody oth-er than the steep inverse relationship ofvehicular speeds to severeness of the in-jury can claim the credit for this.

Predictions are road injuries will rankthird among the leading causes of globaldiseases by 2020. It is time we had enoughbite in the promotion for road safety. TheUN report on Road Traffic Injury Preven-tion came up with six recommendations." To identify a lead government agencyto guide the nation’s road safety effort.This agency needs to coordinate depart-ments such as roads, transport, health aswell as committed NGOs and traffic po-lice. It should rope in celebrities, intelli-gentsia and political champions.

"Set up an institutional arrangement togather, collate and publish credible dataon road traffic injury."Prepare a national road safety strategyand plan of action, and set goal and driveambitious goals for lower traffic injuries.India is among the three from this regionwho have not progressed in this regard."Allocate financial and human resourc-es to address the problem. Proactive stepscan attract resources from UN/WHO." Implement specific identified actions,such as helmets for two-wheeler riders,that can bring down casualties. Forgiv-ing road designs at black spots and manysuch techno-managerial actions and pub-lic education are vital." Support the development of nationalcapacity and international cooperation.

A safe road traffic system is one that ac-commodates and compensates for hu-man vulnerability and fallibility. Roadtraffic crashes are predictable and, there-fore, preventable.(The author is a transport consultant)

Road Fatalities: 2 Lakh and Counting

DHEERAJ SHARMA

Statements of corporate values andethics have been popular for decades.Organisations also have increasinglyasked employees to sign ethics state-ments to confirm their agreementwith core values. Recent well-publicis-ed corporate malfeasance has drawnattention to whether these tools are ef-fective or/and are true reflections oforganisation’s principles and values.

Particularly, the last decade has wit-nessed media frenzy surrounding un-ethical practices of several compani-es: Starbucks’ handling of coffee pro-ducers in Ethiopia, Nike’s handling ofchild labour-related issues in its facto-ries in Asia, Satyam’s multi-billion-rupee scam and Reliance Communi-cations’ alleged involvement in 2Gscam have been widely publicised andcriticised. Yet, Starbucks, Nike, Saty-am and Reliance continue to have hi-ghly-motivated and committed work-force, putting a question mark on thedirect linkage between a company’sethical values and performance out-comes of its workforce.

Furthermore, in the last few years,unscrupulous activities of many or-ganisations contributed to economicdisaster with employees continuing to‘go along’ with organisational objec-tives without blowing any whistle.

A study using employee data from amultinational corporation finds thatperceptual distortion attributable toorganisational fairness colours em-ployee perception of the ethical prob-lems in their firms. In other words, if acompany is procedurally fair to an em-ployee; ethical problems in the compa-

ny do not impact an employee’s perfor-mance outcomes. Consistency theori-es provide the explanation of how em-ployees may be committed and perfo-rm well, notwithstanding the incon-sistency between the company’s ethi-cal values (CEVs) and their own valu-es. Thus, having employees with dist-orted perceptions of organisation’sactivities and ‘going along’ becausethey are being treated fairly is a realpossibility because of an individual’sdesire to maintain cognitive consist-ency. In other words, commitment andperformance of ethical employeesmay stay at high levels, notwithstand-ing corporate ethical transgressionsinconsistent with individual employ-ee’s ethics. Particularly in the case ofa low CEV firm, nefarious corporatemanipulation of employees’ commit-ment and performance can be done byusing procedural fairness to concealunethical practices. So, organisation-al fairness may blind those inside theorganisation to ethical lapses and em-ployees may not be willing to blowwhistles on corporate malfeasance.

The presence of perceptual distor-tion in an employee means that orga-nisations need to objectively takestock of themselves or, potentially,and even more efficaciously, have ob-

jective outsiders or other parties eval-uate CEVs for them. Sharma and hiscolleagues recommend that managersperiodically conduct a research con-cerning employees’ perception of theorganisation’s ethical values and itsinternal policies. Managerial re-search findings may reveal the natureof employees’ selectivity. Corrective

actions such as com-municating policiesand values to the em-ployees in case theywere not aware ofsuch policies, makingsuch policies availa-ble to interested em-ployees, and respon-ding to the concernsand questions relatedto these policies willresult in reducing theperceptual distortion.

To illustrate the point, consider em-ployees promotion and compensationas two major contributing factors tothe perception of fairness in a majori-ty of organisations. If there are sub-stantial changes in the organisation’spolicies with regard to its promotionand salary, such changes must be com-municated appropriately to the em-ployees. Five distinct steps can be

identified in the pursuit of a success-ful internal communication.

The first step is to identify generalobjective of the change in salary andposition, or promotion. In other wor-ds, salary increments and promotionsneed to be objectively explained to theemployees. Arbitrary promotions andsalary increments may be a way tomask corporate malfeasance. In thesecond step, the management mayconduct a survey among employees inorder to determine their receptivitytoward the proposed change. A cost-and-benefit assessment is the thirdstep that can be completed to determi-ne whether the advantage from mark-eting a proposed changes in the firm’spolicies affecting a particular groupsof employees is worth the benefit re-ceived. If a decision is made to marketthe proposed change to employees, thefourth step is the creation of a docu-ment outlining the promotion and sal-ary policy of the organisation. The do-cument needs to be effectively commu-nicated to employees using a variety ofmethods such as group discussions,persuasive personal contacts, favour-able publicity and reminder promo-tion activities. The fifth and final stepis to ascertain whether the marketingactivity attained its objectives.

The organisation is willing to engagein the aforementioned steps, then, andonly then, will there be an appropriateunderstanding of how corporate ethi-cal practices affect employee perform-ance outcome. Further, an organisa-tion will be cognisant of the negativeinfluence of corporate malfeasanceon employee motivation, when the dis-torting effect of organisational fair-ness is parcelled.Adapted from Dheeraj Sharma, ShaheenBorna and Jim Stearns (2009), An In-vestigation of the Effects of Corporate Eth-ical Values on Employee Commitment andPerformance: Examining the ModeratingRole of Perceived Fairness, Journal ofBusiness Ethics 89(2): 25-260(The author is with IIM-Ahmedabad)

Covering Corporate MisconductSatisfied staff is lesslikely to see an unethicalmove by employer inbad light — and report it

Organisationalfairness mayblind thoseinside theorganisationto ethicallapses andemployeesmay not bewilling toblow whistles

ARINDAM

The Crossword 4352

Dilbert by S Adams

New researchdistinguishesbetweenfinancialintegrationsthat enhanceeconomicgrowth andthose that aredestabilising

Page 25: Regional and urban competitiveness   a case study for india

Fiscal  Deficit  versus  GDP  

Andhra Pradesh Arunachal Pradesh

Assam

Bihar

Chhattisgarh

Delhi

Goa

Gujarat

Haryana

Himachal

Jammu & Kashmir

Jharkhand

Karnataka

Kerala

Madhya Pradesh

Maharashtra

Manipur

Meghalaya

Mizoram Nagaland

Orissa

Punjab

Rajasthan

Sikkim

Tamil Nadu

Tripura Uttar Pradesh

Uttaranchal

West Bengal

0  

2  

4  

6  

8  

10  

12  

14  

16  

0   10   20   30   40   50   60   70   80  Fiscal  deficit/  Revenues  in  %  terms  

age  57.28  Index  All  India  Average  of    

23.93%  

GSDP  growth  rate  (CAGR)  of  7.15%  

Strong  posi0on  Stable  growth  

GSD

P  Growth  ra

tes  (CA

GR  2006-­‐10)  

Page 26: Regional and urban competitiveness   a case study for india

Urban  Popula0on  versus  Urban    Popula0on  Growth  rates  

Andhra  Pradesh  Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa   Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  Jharkhand   Karnataka  

Kerala  

Madhya  Pradesh  Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa   Punjab  Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

2  

4  

6  

8  

10  

12  

0   10000   20000   30000   40000   50000   60000  

Popula1on  in  Urban  areas  as  per  census  (provisional  Data)  in  Thousands  

Thousands  

Growth  ra

te  (C

AGR  2001-­‐2011)  

All  India  Average  3.35%  CAGR      

All  India  

All  India  Average  of  20950320  people/

state  

Page 27: Regional and urban competitiveness   a case study for india

Rural  and  Urban  Popula0on  in  India  

0  

2,00,00,000  

4,00,00,000  

6,00,00,000  

8,00,00,000  

10,00,00,000  

12,00,00,000  

14,00,00,000  

16,00,00,000  

Rural  

Urban  

Urban  

Rural  

Page 28: Regional and urban competitiveness   a case study for india

Rural,  Urban  and  Total  Popula0on    

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  

Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

-­‐20  

0  

20  

40  

60  

80  

100  

120  

-­‐20   0   20   40   60   80   100   120  Urban

 Pop

ula1

on  as  a

 percentage  of  to

tal  Pop

ula1

on  

Rural  Popula1on  as  a  percentage  of  total  Popula1on  

All  India  Average  32.98%  

All  

India  All  India  Average  

67.02%  

Page 29: Regional and urban competitiveness   a case study for india

India’s  Urbaniza0on  Trends  in  Past    

   

Source:  McKinsey  Report.  

Page 30: Regional and urban competitiveness   a case study for india

India’s  Urbaniza0on  Trends  in  Future    

   

Source:  McKinsey  Report.  

Page 31: Regional and urban competitiveness   a case study for india

Urban  India’s  Contribu0on  to  Na0onal  Income  in  Future    

   

Source:  McKinsey  Report.  

Page 32: Regional and urban competitiveness   a case study for india

Urbaniza1on  

Page 33: Regional and urban competitiveness   a case study for india

Ins0tute  for  Compe00veness,  India   33  19 DECEMBER 2011 45 BUSINESSWORLD19 DECEMBER 2011 44 BUSINESSWORLD

Delhi

Mumbai

Bangalore

Pune

Chennai

Gurgaon

Kolkata

Hyderabad

Ahmedabad

Jaipur

Noida

Surat

Nagpur

Kochi

Chandigarh

Vadodara

Thiruvananthapuram

Nashik

Rajkot

Indore

Kozhikode

Coimbatore

Lucknow

Mysore

Goa

Visakhapatnam

Kanpur

Bhopal

Madurai

Ludhiana

Vijayawada

Agra

Patna

Allahabad

Bhubaneswar

Amritsar

Meerut

Varanasi

Puducherry

Guwahati

Asansol

Jammu

Shimla

Dehradun

Srinagar

Jabalpur

Ranchi

Faridabad

Jamshedpur

Dhanbad

123456789

1011121314151617181920212223242526272829303132333435363738394041424344454647484950

For methodology, see page 43 Source: Institute For Competitiveness

72.8861.7460.6160.4565.9359.9265.4167.2862.1557.9158.2257.8054.7358.1861.1457.4955.8556.0656.2760.0653.7556.3856.2859.8156.6354.8756.4157.4155.3352.9354.3054.4255.9554.4256.9552.3754.4254.8053.2653.6352.0156.4753.6556.4753.3851.9955.1655.6057.0454.34

59.7460.7359.7058.9459.8257.9564.7955.8260.8857.6358.2957.5558.5656.0257.5257.4455.5557.6555.0059.3655.6156.4155.3957.9557.2353.9356.9258.3555.8255.8052.9855.3956.9255.3957.7654.8855.3956.0256.8657.4757.1356.9757.5156.9757.0753.6657.2855.0057.2456.89

92.5963.2461.9862.7275.0962.8866.3584.4564.0758.3458.1258.1848.9861.4166.5657.5756.3053.6858.1861.1350.9656.3457.6162.6255.7256.2855.6456.0154.5948.6156.2852.9754.4952.9755.7248.6152.9752.9747.8647.8644.3355.7247.8655.7247.8649.4851.9856.5056.7350.52

1689311425151316361471730282710422526122134241832474137293820483935464449234322455033311940

RANK2011

13482

13567

101712

916112429383214331528361841202725223926474635434523503449371931404448304221

RANK2010

CITY INSTITUTIONAL INFRASTRUCTURE

RANK

1289546141620319713331715251827101130314039283412213632454224222926233844463541473750434849

RANK SCOREINSTITU-TIONAL

SUPPORT

SUPPLIERSOPHISTI-

CATION

INDIA’S MOST COMPETITIVE CITIES 2011

84.4479.7462.5562.4366.1370.0764.2260.2058.9756.9171.5157.7862.6260.2453.6258.3159.0954.8557.7854.4661.8061.5553.8753.7451.8151.8754.3252.9160.8756.3452.1253.6950.3351.0055.5055.8854.0754.6155.6352.0250.6150.1552.5351.7349.9852.0949.7950.7649.8449.82

76.9787.2163.7757.1169.7478.9170.9357.6755.4954.6979.1953.2358.6658.7552.8954.1855.8256.2953.3156.4462.7961.5351.6652.6053.9853.2252.3454.5360.6553.9153.7251.0951.6952.4652.0253.1252.1152.8951.8855.7151.9752.4853.0452.6252.1453.1551.5651.8151.6051.60

91.9272.2861.3367.7662.5361.2257.5062.7362.4659.1263.8362.3366.5761.7354.3562.4362.3753.4162.2552.4860.8161.5756.0754.8849.6450.5256.2951.2961.0958.7750.5256.2948.9749.5358.9858.6456.0256.3359.3748.3249.2547.8152.0350.8447.8251.0348.0249.7148.0848.03

COMPETITION

SCOREBUSINESSINCENTIVES

INTENSITY& DIVERSITY

OF FIRMS

12341223161965

498102412172171534264313352720314236221418119

47253032445029394833404537384641

RANK

83.0178.4972.0071.4058.6356.7757.2657.0563.7664.8550.5062.8159.1756.6255.6357.2557.0063.4157.8252.8755.8651.4258.3952.6955.8357.0254.9051.6452.6256.9957.9257.1459.1059.3451.1456.0755.1453.6651.3750.1155.5252.0651.0753.0351.7151.3152.5352.3851.1951.69

65.0365.7767.9461.4960.7367.4958.7160.0059.4859.0153.9561.5258.8759.6167.7955.5159.2657.8659.0152.5558.8448.9557.3951.3166.8154.2650.4654.1852.1758.8254.3153.9450.9748.2452.1661.1654.7350.1057.8455.6255.8557.1158.3458.7857.6652.0051.5057.9052.4051.75

101.0091.2076.0681.3256.5346.0455.8154.0968.0370.6847.0564.1059.4853.6343.4658.9854.7468.9656.6353.1852.8953.9059.4054.0744.8559.7859.3449.0953.0855.1561.5260.3467.2370.4450.1350.9955.5557.2244.9144.6055.2047.0143.8047.2845.7650.6153.5646.8649.9951.62

DEMAND CONDITIONS

SCOREINCOMEDISTRI-BUTION

BASICDEMO-

GRAPHICS

59.9963.5362.7654.2556.2069.5157.9366.5154.7758.7478.5251.1555.9953.8561.3849.7556.0550.7751.3362.6254.4154.0959.7057.6056.1852.2958.7365.9550.9951.4954.3954.1657.6648.6053.9251.4752.3050.1962.1172.2749.3364.1954.4355.9759.5660.7457.5957.6854.3849.18

ADMINIS-TRATIVE

71.2568.1964.0468.5164.3561.3263.2960.5663.1352.5357.9860.5059.5661.6160.9457.6661.5653.0660.0259.2961.4863.3857.1956.2558.5153.3556.0552.8158.9755.4553.8658.5143.4959.3950.2253.0753.7955.7756.6547.0053.5548.6347.7754.9748.6250.9849.9152.2349.7549.88

HUMANCAPACITY

62.9770.6459.9964.2167.4562.6359.6164.8657.8152.2357.3457.9258.9164.5165.6458.2861.5651.9058.3354.1664.7660.9347.8158.5363.0559.8649.6056.5760.9351.9461.7748.7547.3547.7454.4949.8950.2649.0858.5057.8552.6456.7963.6953.8361.3256.7649.1152.3550.1549.91

INNOVATION

72.1970.2863.4960.8962.4864.2362.9663.8358.3557.6860.7856.2957.5457.9761.2456.8357.4153.1156.3960.9355.8458.3255.4256.8456.9256.7756.2259.6454.7154.6655.5554.5152.9652.4455.8653.2952.7453.0855.4958.3054.8455.5956.7653.4556.3655.0550.7548.9049.7448.79

SCORE

1251073641317112718168

221942259

301434212023281237383239444629414543331536312440263547494850

RANK

73.4372.1967.5361.8658.6368.6566.2861.3654.6465.3758.1053.8763.9147.8561.6859.2044.0750.1156.8769.1446.4557.9055.5255.9552.8554.3161.1565.2350.9155.1755.3056.2654.3152.9865.7853.8053.3254.8547.6353.4059.2852.2061.0352.5252.2063.6149.0560.0245.9243.52

95.4563.7764.4662.0362.3757.9464.0262.5558.1857.2156.5757.5550.0561.5756.8958.9560.6154.8555.9357.0959.2060.1051.5460.8661.1958.7756.4458.0758.0554.9056.4056.1557.9255.3751.0355.4155.6955.0957.3158.3757.1357.5257.3852.1360.3050.3646.9716.8252.2851.74

70.0383.3862.1554.5065.9065.2966.6467.1661.5660.0256.1756.7356.8358.4560.9057.1260.5957.9855.8863.2748.7553.5260.7851.8349.7462.0655.3759.2248.4359.0451.5753.2157.0250.5659.7256.1351.0953.5250.7360.8957.1154.2156.2351.2556.1447.8551.8754.3045.9748.50

INFRASTRUCTURE

COMMUNI-CATION

PHYSICALFINANCIAL

78.0272.9365.2864.2762.7562.3061.9961.7660.8659.7259.3358.8558.4858.0658.0157.3857.3157.1457.0757.0456.6256.5156.1755.5755.5155.4855.4855.4555.4455.3555.3255.1254.8754.6254.5954.4654.0653.9153.8453.6553.6353.6253.5953.5853.0952.7251.9751.6651.6650.97

OVERALLCOMPETI-TIVENESS

SCORE

Page 34: Regional and urban competitiveness   a case study for india

Ins0tute  for  Compe00veness,  India   34  

2 Liveability Index 2011

enhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperityenhancingprosperity

1.1 Urbanization: A case in point !e present time has made cities more important than ever before. Today, the world is converging towards an urbanized zenith and we are experiencing this metamorphosis. Urbanization is a characteristic of both the developed and the developing world. With more than half of the global population living in urban areas and projected to grow to two-thirds (6 billion people) by 2050 (United Nations), the future of the world is indeed an urbanized global nation.

However, sprawling urbanization (characterized by an economic growth of large cities clouded by social problems of poverty, unemployment, environmental degradation and poor health facilities) is increasingly becoming the signature feature of developing countries. It is being feared that the developing continents of Asia and Africa (expected to be 54 percent urban by 2025), might convert into urban examples of overcrowding and underachievement rather than global centers of growth and opportunity.

1.2 De!ning LiveabilityLiveability refers to an urban system that contributes to the physical, social, mental and personal development of all its inhabitants. It is about delightful and desirable urban spaces that o"er and re#ect cultural and sacred enrichment. Key principles that give substance to this theme are equity, dignity, accessibility, conviviality, participation and empowerment.

A liveable city is one that directly bene$ts the people who live and work in it along with those who visit it. It refers to the environmental and social quality of an area, which includes local environment conditions, presence of quality education and health institutions, infrastructure, spending power administered by its consumers, safety of the population and recreational avenues.

Likewise, businesses are on a persistent lookout for locations that complement the production process. To cite one case, an area with regular supply of power and well-connected roads provides a favorable environment for a commercial activity.

1. Understanding Liveability

At this stage it is mandatory to draw a couple of distinctions between a few intertwining terminologies. First, it is important to understand that liveability is not the same as quality of life or quality of living enjoyed by the residents of a place. !e quality of life is a subjective notion and limited concept that weighs the extent to which the ‘desires’ of people are met. !ese desires may not be the same across sections of society and thus are sensitive to individual choices.

On the other hand, liveability traverses an extra mile to include every member in the society and is de$ned as the creation of that utopian environment in which all the people achieve a high standard of living by having access to the basic human needs along with city infrastructure and a safe living environment. Although, inclusive of the ‘desires’ of the citizens, it gives more weightage to human needs than human wants.

Second important di"erence is between the de$nitions of Development and Liveability. While, development is a measure of the economic prosperity of a region, liveability is an instrument measuring the welfare pulse of the people and the region. At the same time, it has to be borne in mind that urbanization, although a signi$cant component is not an absolute parameter for gauging the degree of liveability of a city.

Natural Built/

Planned Enviroment

Demographic Pillar

EducationPillar

SafetyPillar

Housing OptionPillar

Economic Enviroment

Pillar

Socio-Cultural Political

Enviroment Pillar

Health and Medical

StandardsPillar

Overall Liveability

Index

The  Livability  Index  

Page 35: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  

Mizoram  

Nagaland  

Orissa  

Punjab  Rajasthan   Sikkim  

Tamil  Nadu  

Tripura  Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

2  

4  

6  

8  

10  

12  

14  

16  

0   10   20   30   40   50   60   70   80   90   100  Literacy    rates  in  percentage  terms  

All  India  Average  7.14%  

All  India  

All  India  Average  77.12%  

Literacy  Rates  versus  GDP  GDP

 growth  ra

te  (C

AGR  2006-­‐2010)  

Page 36: Regional and urban competitiveness   a case study for india

Literacy  Rates  versus  Popula0on  

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chalsgarh  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  Jammu  and  Kashmir  

Jharkhand  

Karnataka  

Kerela  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya   Mizoram  Nagaland  

Delhi  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

50000000  

100000000  

150000000  

200000000  

250000000  

0   10   20   30   40   50   60   70   80   90   100  

Literacy  rates  in  Percentage  terms  

Popu

la1o

n  

All  India  Average  67232968  People/state  

All  India  

All  India  Average  Literacy  level  of  

77.12%  

Page 37: Regional and urban competitiveness   a case study for india

POLICYTHE ECONOMIC TIMES ON SATURDAY MUMBAI 27 NOVEMBER 2010 *

SAWANT SINGH, SRIRAM RAMACHANDRAN &GAURAV SINGHI

ON MARCH 31, 2010, FOR THE FIRST TIME,the department of industrial policy andpromotion (DIPP) in the ministry of

commerce and industry put out a Consolidated FDIPolicy: Circular 1 of 2010 overriding the entire heapof press notes, circulars and clarifications issuedearlier in connection with foreign direct investment(FDI). The DIPP’s efforts in preparing Circular 1,which became effective from April 1, 2010, earnedplaudits from the industry at first, but on a closerlook, left India Inc and foreign investors high anddry, especially on issues relating to upfrontdetermination of price for capital instruments andnon-inclusion of partly-paid shares and warrantswithin the definition of ‘capital’.

To its credit, however, the DIPP has issued Consol-idated FDI Policy: Circular 2 of 2010 within sixmonths of Circular 1 and lived up to its promise byclarifying issues that had ruffled feathers in the FDIspace. We highlight a few key clarifications made inCircular 2.Death to warrants and life again: Circular 1 created animpression that there was a complete embargo on is-suance of warrants and partly-paid capitalinstruments to non-residents even if the ForeignInvestment Promotion Board (FIPB) approved it. Onthe contrary, as a matter of practice, the FIPB wasconsidering such proposals and granting approvalsafter factoring in the time limit for conversion of thewarrants and quantum of upfront consideration.

The DIPP clarified the matter in a note to thedefinition of ‘capital’ in Circular 2 by stating thatinstruments other than equity shares and fully, com-pulsorily and mandatorily convertible preferenceshares and debentures may be issued after obtainingprior government approval. This change will ensurethat, on one hand, there is some elbow room for ma-ture foreign financial investors to structure theirinvestments and, on the other, domesticundertakings need not hand over a pie of theirbusiness at a price that could potentially be higher ata future point.Soothing NBFCs: Circular 2 also partly settles the dustover downstream investment by foreign owned andcontrolled (FOCC) non-banking financial

companies (NBFCs). Reading the relevantprovisions of Circular 1 (reiterating what had beenstated in press note 4 issued in February, 2009) ledone to conclude that 100% wholly ownedsubsidiaries of the FOCC NBFCs must also meet theminimum capitalisation requirements of NBFCs.This would have made it commercially difficult forFOCC NBFCs to set up and operate differentsubsidiaries for separate activities like stock broking,housing finance etc. Much to the relief of 100%FOCC NBFCs, however, Circular 2 has explicitlystated that they will not be required to meetminimum capitalisation requirements. Speaking ofdownstream investments, there were concerns afterthe release of Circular 1 that downstreaminvestment by a FOCC could be done only through

funds from abroad and not by leveraging funds fromIndia. Fortunately, Circular 2 has stated with wellclarified that investment by internal accruals ispermitted as long as other conditions laid down inthe policy on downstream investments are fulfilled.Breather to retailers too: Since FDI in multi brand retailis prohibited, players in this market have often beenin the news for the wrong reasons, trying to use thewholesale cash-and-carry route, where100% FDI ispermitted, as a backdoor to enter the multi brand re-tail sector. In Circular 1, the government had comedown heavily on FDI in multi brand retail sectorstructure — where the ownership structure of theretail entity and the wholesale entity were keptdistinct but within the same groupcompanies/promoters and exclusive arrangementswere made between the two companies to realisecommercial value — by stating that only 25% of thetotal turnover could be traded by the wholesale enti-ty amongst the same group companies and for‘internal use’ only. However, after much cajoling,the government has provided a breather to theinfamous indirect structures by getting rid of the‘internal use’ rule.Conclusion: The DIPP deserves a pat on its back for itsexemplary efforts, some of which we have discussedabove. In recent months, the DIPP has published afew discussion papers on opening up prohibited sec-tors such as multi-brand retail and defence to FDI. Apaper has also been put up for discussion on issue ofshares for consideration other than cash, so farpermitted in certain cases such as conversion ofexternal commercial borrowings or royaltypayments). There are, nevertheless, otherambiguities in the FDI policy requiring the DIPP’s at-tention — the important ones being upfrontdetermination of price of capital instruments at thetime of issuance and treatment of FOCC Indian com-panies as non-resident entities, given the guidingprinciple in the FDI policy that downstreaminvestment by FOCC Indian companies are requiredto follow the same norms as a direct foreigninvestment. These issues have been the bones ofcontention in boardrooms and we can only hopethat they can grab the DIPP’s attention at the earliest.

(S Singh is partner, G Singhi is senior associate and SRamachandran is associate at Phoenix Legal)

9

NDIA is at the centre of the population-versus-growth debate. With the world’s second-largestpopulation at 1.2 billion, the country must fo-cus on turning this population into a benefitrather than a disadvantage. This month, welook at how states in India can use their popu-lation size and growth rate to improve theircompetitiveness.

TRADITIONAL economic thinking seespopulation as a drag on a nation’s eco-nomic growth. However, with the worldlooking towards India as a growing andvibrant market, her ‘demographic advan-tage’ is often touted as her biggest asset.

According to the theory of demograph-ic dividend, the rate of economic growthincreases due to a rising share of workingage people in a population. For India,falling fertility rates are resulting in a larg-

er chunk of working-age people, who cancontribute to the GDP and generate high-er output per capita.

In fact, the International Labour Orga-nization (ILO) has stated that India willaccount for the highest working age pop-ulation in the next 10 years, in a report re-leased recently. In the document preparedfor the G-20 Summit held earlier thismonth in Seoul, the ILO says that the G-20 nations will see their working age pop-ulation between 15 and 64 years increaseby 212 million in the period 2010-2020.Over 64% of this increase will occur in In-dia alone!

This month’s IFCIndia State DevelopmentBarometer takes a sharp look at what pop-ulation really means to the economicgrowth of India’s states and analyses howstates can use their demographic situationto improve their competitiveness, andhence, enhance their prosperity.

Rising stars among statesIt is widely accepted that growth among In-dian states is skewed, with some prosper-ous states bearing the burden of growth,while several other lag in terms of GDPgrowth and development parameters.

The average decadal GDP growth figuresshow that unexpected states such as Biharand Orissa, historically notorious for poorgrowth, have exhibited a sustained GDPgrowth rate. Bihar, specifically, is notablefor exhibiting a remarkable decadal growthrate of 10.83% while contributing on amodest population base. Bihar accountsfor 8.1% to the country’s population, asseen in the accompanying graph.

Meanwhile, states such as Maharash-tra, Goa, Punjab and Tamil Nadu, that areknown for their higher levels of industrial-isation, human development or agricul-tural prosperity seem to have slowed interms of GDP growth over the past decade.

Size does matterA large size of population appears to be aburden on the economy of states such asUttar Pradesh, Rajasthan, West Bengaland Madhya Pradesh. These states arealso usually characterised by low percapita income and higher disparities.Large population size is a major factor,

among several others, that is draggingdown the economic growth of relativelyaffluent states like Maharashtra, Kar-nataka and Tamil Nadu. Yet, a few statessuch as Bihar, Andhra Pradesh and Gu-jarat with large populations are exhibit-ing high GDP growth.

No burden on economic growthSixteen states in India have a GDP growthhigher than the national average. Ofthese, ten states show a populationgrowth rate higher than the national av-erage, while six other states have a popu-lation growth rate lower than the nation-al average.

Population growth, considered a bur-den to economic growth, seems to havelittle correlation with GDP growth (corre-lation = 0.24). Large states such as Bihar,for instance, have showed sustained GDPgrowth over the decade along with asteadily rising population, whereas statessuch as Punjab and Manipur with slowerpopulation increase are showing GDPgrowth rates that are lower than the na-tional average.

Population, a double-edged swordClearly, population is a double-edgedsword. On one hand, the data shows thatthere is no clear correlation betweengrowth in population and GDP. Yet, accord-ing to the demographic dividend theory, alarge working age population is an asset.

In order to be able to catapult theirgrowth rates, states need to look closelyat their competitiveness, which in turnis linked to their level of productivity.Improved competitiveness leads to im-proved incomes and better quality of lifeacross the board. When viewed fromthis standpoint, states will be able to de-velop strategies on how best to utilisetheir workforce — small or large, grow-ing slow or growing fast — to maximiseproductivity.Group 1: States with lower populationgrowth rates and high GDP growth rates,such as Kerala, Andhra Pradesh and Oris-sa need to look closely at the training lev-els of their workforce and create strategyto move towards high value sectors andindustries that need a more skilled work-

force, which are also correspondingly farmore productive.Group 2: States with healthy GDP andpopulation growth rates, such as Chandi-garh, Delhi, Haryana and Bihar must fo-cus on sectors where they are inherentlycompetitive because of the presence ofnatural resources or traditional skills andknowledge. These states should find waysto turn the availability of a large work-force in their favour by offering suitableeducation policies and opportunities. Set-ting the right priorities is critical to en-hance competitiveness for this band of In-dian states.Group 3: A number of states such as Kar-nataka, West Bengal, Rajasthan, TamilNadu and Mizoram are performing onlyslightly below India’s average GDPgrowth rate. These states can quickly cat-apult themselves into Group 2 with a fo-cused effort on productivity.Group 4: A roadmap for enhancing com-petitiveness is critical for poorly perform-ing states. Among these, states such as Ut-tar Pradesh and Madhya Pradesh withlarge and growing populations must con-trol the rate of population growththrough effective healthcare and out-reach efforts, as arresting populationgrowth takes time. They also need to har-ness their large growing workforce effec-tively and focus on promoting economicactivities that can employ and utilise alarge labour workforce, like certain typesof manufacturing.

Vision for the futureA look at the relationship between thepopulation and GDP growth serves tohighlight how states in various stages ofgrowth — both economic and demo-graphic — can harness their position inthe best possible manner. This is best doneby first ascertaining a state’s inherentcompetitive edge — these could be re-sources, sectors, human potential, etc —and then designing and implementingpolicy around this to achieve highly pro-ductive and efficient clusters that provideemployment, contribute to growing theGDP and bring prosperity as well.

Institute For Competitiveness

POST the crisis, the one common thread thatlinks advanced economies across the world,with perhaps the exception of the ever-prudentGermans, is the phenomenal increase in publicdebt, i.e., debt raised by governments strappedfor funds and desperate to kickstart the econo-my with stimulus packages.

Based on IMF forecasts, Eswar Prasad at Cor-nell University calculates that the level of aggre-

gate net government debt in the world will more than double from $23trillion — 44% of world GDP — in 2007 to $48 trillion — 65% of GDP— in 2015. Advanced economies account for much of this increase.

Prasad estimates the ratio of aggregate debt-to-aggregate GDP for ad-vanced economies will rise from 48% in 2007 to 71% in 2010, and fur-ther to 85% in 2015. In contrast, emerging markets (EMs) fare muchbetter. The corresponding ratios for the EM group are 30%, 30% and26% respectively. In 2007, EMs accounted for 24% of world nominalgross domestic product (GDP), in US dollars terms, and 17% of worlddebt. By 2015, they are expected to produce 35% of world output butaccount for just 14% of world debt. Thus, even as EMs increase theirshare in world GDP, their share in world debt is expected to come down.To put that more graphically, EMs will power their growth from inter-nal rather than borrowed resources.

This has two major consequences for EMs — both positive. One,they will be able to use more and more of their revenue for productivepurposes rather than for servicing debt, whether by way of interest costor repayment. Two, the distressing issue of inter-generational equitywhere succeeding generations end up paying for the profligacy of ear-lier generations will be resolved far more satisfactorily in EMs than inadvanced economies. Add to this the fact that EMs have a lower de-pendency ratio — read: larger share of population in the younger agegroup — and clearly, they are on a stronger wicket.

This is graphically brought home when the rise in debt is comparedwith the rise in GDP. EMs accounted for 10% of the rise in global debtlevels from 2007 to 2010, and could account for 13% of the rise from2010 to 2015. In contrast, their contributions to global GDP growthover these two periods are expected to be 70% and 54%, respectively.Average debt per capita in advanced economies was $19,400 in 2007,rose to $29,100 in 2010, according to the paper, and will go up to$41,000 in 2015. By 2015, the burden of debt for US citizens will rise to$48,000 per person. The debt burden for Japanese citizens will hit$75,900, the highest in the world. In contrast, China’s debt burden willbe just $1,200 in 2015. India’s, however, will be far higher at $2,013.

Among advanced economies, average debt per working-age personwill more than double from $31,700 in 2007 to $68,500 in 2015. Japantops the league tables by this measure while the US moves into secondposition by 2015 with debt per working-age person of $134,500 and$79,200, respectively.

Diehard optimists point to periods when public debt ballooned butfears of Doomsday proved ill-founded as a reason not to get perturbedabout the sharp rise in debt. But they could be living in cloud cuckooland! Borrowing like there is no tomorrow has serious — and unhappy— consequences for both their own as well as global financial stability.

The analysis paints a sobering picture of worsening public debt dyna-mics and a sharply-rising debt burden in advanced economies. It warnsthe worst is, perhaps, yet to come. First, these countries are experienc-ing little population growth. Second, they are facing rapidly aging pop-ulations. Third, their economies are likely to register slow growth, es-pecially relative to the EMs. Fourth, entitlement spending on health-care and pension could rise sharply due to unfavourable demographics.

The prescription: advanced economies had better get their fiscal acttogether once the recovery is better entrenched. It will take strong po-litical will to tackle near-term deficits and then to control the growth inentitlement spending. In the absence of decisive action, ballooningpublic debt in these economies could become a major threat to domes-tic and global financial stability.

http://www.brookings.edu/articles/2010/1101_government_debt_prasadMythili Bhusnurmath

[email protected]

Sins ofindulgence

The DIPP has clarified manycontentious issues regarding FDI,but ambiguity remains on subjectssuch as determination of pricing ofcapital instruments at issuance

THE EXPLOSION OF PUBLIC DEBT HASSERIOUS LONG-TERM REPERCUSSIONS

ANIMISHA

POLICIES THAT MAKE PRODUCTIVE USE OF AVAILABLE RESOURCES ARE CRITICAL

ARINDAM

I

INDIA

Source: IMF Fiscal Monitor, May 2010; IMF WEO, April 2010;ILO Economically-Active Population Estimates and Projections, 2009

DEBT BURDEN

Gross debt to GDP (%)Gross debt(US dollars in billions)Gross debt percapita (US dollars)Gross debt perworking-ageperson (US dollars)

79.01,080

888

1,638

77.81,164

945

1,728

70.31,400

1,092

1,954

2009 2010 2011 2014 201580.8999

833

1,548

67.31,471

1,132

2,013

ChandigarhDelhiUttarakhandHaryanaGujaratBiharChhattisgarhSikkimNagalandHimachal Pradesh

5.05

3.11

1.59

1.98

1.64

1.86

1.76

1.58

4.89

1.59

Populationgrowth ratesare HIGHERthan nationalaverage

Populationgrowth ratesare LOWERthan nationalaverage

GDP(India avg 7.99)State

Populationgrowth rate

(India avg 1.55)

13.1211.8611.8

11.6910.8

10.839.789.6

9.548.88

Andhra PradeshOrissaMeghalayaTripuraArunachal PradeshKerala

0.99

1.07

1.39

0.99

1.27

0.77

9.529.378.058.4

8.799.55

PEOPLE POWER

States contributing to India’s GDP growth(GDP growth higher than national average)

Population size vs GDP growth rate

Comparison of state population growth and GDP growth

0 500 1000Population size in lakhs

1500 2000 2500

14121086420

CH

GOTRMG

MZ

HP

JHPJ

MPAS

ANMNJK

PD

DLHRUK

SK CG KRORAR

NL

TN

APBR

KA RJWB

MH

UP

DL: DelhiCH: ChandigarhKR: KeralaTR: TripuraMG: MeghalayaPD: PuducherryKA: KarnatakaWB: West Bengal

AS: AssamNL: NagalandUK: UttarakhandHR: HaryanaGJ: GujaratCG: ChattisgarhSK: SikkimJH: Jharkhand

TN: Tamil NaduBR: BiharRJ: RajasthanGO: GoaMZ: MizoramPJ: PunjabMN: ManipurOR: Orissa

UP: Uttar PradeshAP: Andhra PradeshAR: Arunachal PradeshHP: Himachal PradeshJK: Jammu & KashmirMP: Madhya PradeshAN: Andaman & Nicobar IslandsMH: Maharashtra

0 1 2Population growth (%)

3 4 5

14121086420

AP

TR KR

WB

AS

TN

KR ORAR

MGMH

RJGO

AN

PD

JHPJJK

UPMN

MP

SK CGHP

GJ BR

UK HR DL CH

NL

GJ

MZ

JAYEETA

States can harness theirpopulation to grow

FDI policy needs some more weeding DILBERT by S Adams

POLICYTHE ECONOMIC TIMES ON SATURDAY MUMBAI 27 NOVEMBER 2010 *

SAWANT SINGH, SRIRAM RAMACHANDRAN &GAURAV SINGHI

ON MARCH 31, 2010, FOR THE FIRST TIME,the department of industrial policy andpromotion (DIPP) in the ministry of

commerce and industry put out a Consolidated FDIPolicy: Circular 1 of 2010 overriding the entire heapof press notes, circulars and clarifications issuedearlier in connection with foreign direct investment(FDI). The DIPP’s efforts in preparing Circular 1,which became effective from April 1, 2010, earnedplaudits from the industry at first, but on a closerlook, left India Inc and foreign investors high anddry, especially on issues relating to upfrontdetermination of price for capital instruments andnon-inclusion of partly-paid shares and warrantswithin the definition of ‘capital’.

To its credit, however, the DIPP has issued Consol-idated FDI Policy: Circular 2 of 2010 within sixmonths of Circular 1 and lived up to its promise byclarifying issues that had ruffled feathers in the FDIspace. We highlight a few key clarifications made inCircular 2.Death to warrants and life again: Circular 1 created animpression that there was a complete embargo on is-suance of warrants and partly-paid capitalinstruments to non-residents even if the ForeignInvestment Promotion Board (FIPB) approved it. Onthe contrary, as a matter of practice, the FIPB wasconsidering such proposals and granting approvalsafter factoring in the time limit for conversion of thewarrants and quantum of upfront consideration.

The DIPP clarified the matter in a note to thedefinition of ‘capital’ in Circular 2 by stating thatinstruments other than equity shares and fully, com-pulsorily and mandatorily convertible preferenceshares and debentures may be issued after obtainingprior government approval. This change will ensurethat, on one hand, there is some elbow room for ma-ture foreign financial investors to structure theirinvestments and, on the other, domesticundertakings need not hand over a pie of theirbusiness at a price that could potentially be higher ata future point.Soothing NBFCs: Circular 2 also partly settles the dustover downstream investment by foreign owned andcontrolled (FOCC) non-banking financial

companies (NBFCs). Reading the relevantprovisions of Circular 1 (reiterating what had beenstated in press note 4 issued in February, 2009) ledone to conclude that 100% wholly ownedsubsidiaries of the FOCC NBFCs must also meet theminimum capitalisation requirements of NBFCs.This would have made it commercially difficult forFOCC NBFCs to set up and operate differentsubsidiaries for separate activities like stock broking,housing finance etc. Much to the relief of 100%FOCC NBFCs, however, Circular 2 has explicitlystated that they will not be required to meetminimum capitalisation requirements. Speaking ofdownstream investments, there were concerns afterthe release of Circular 1 that downstreaminvestment by a FOCC could be done only through

funds from abroad and not by leveraging funds fromIndia. Fortunately, Circular 2 has stated with wellclarified that investment by internal accruals ispermitted as long as other conditions laid down inthe policy on downstream investments are fulfilled.Breather to retailers too: Since FDI in multi brand retailis prohibited, players in this market have often beenin the news for the wrong reasons, trying to use thewholesale cash-and-carry route, where100% FDI ispermitted, as a backdoor to enter the multi brand re-tail sector. In Circular 1, the government had comedown heavily on FDI in multi brand retail sectorstructure — where the ownership structure of theretail entity and the wholesale entity were keptdistinct but within the same groupcompanies/promoters and exclusive arrangementswere made between the two companies to realisecommercial value — by stating that only 25% of thetotal turnover could be traded by the wholesale enti-ty amongst the same group companies and for‘internal use’ only. However, after much cajoling,the government has provided a breather to theinfamous indirect structures by getting rid of the‘internal use’ rule.Conclusion: The DIPP deserves a pat on its back for itsexemplary efforts, some of which we have discussedabove. In recent months, the DIPP has published afew discussion papers on opening up prohibited sec-tors such as multi-brand retail and defence to FDI. Apaper has also been put up for discussion on issue ofshares for consideration other than cash, so farpermitted in certain cases such as conversion ofexternal commercial borrowings or royaltypayments). There are, nevertheless, otherambiguities in the FDI policy requiring the DIPP’s at-tention — the important ones being upfrontdetermination of price of capital instruments at thetime of issuance and treatment of FOCC Indian com-panies as non-resident entities, given the guidingprinciple in the FDI policy that downstreaminvestment by FOCC Indian companies are requiredto follow the same norms as a direct foreigninvestment. These issues have been the bones ofcontention in boardrooms and we can only hopethat they can grab the DIPP’s attention at the earliest.

(S Singh is partner, G Singhi is senior associate and SRamachandran is associate at Phoenix Legal)

9

NDIA is at the centre of the population-versus-growth debate. With the world’s second-largestpopulation at 1.2 billion, the country must fo-cus on turning this population into a benefitrather than a disadvantage. This month, welook at how states in India can use their popu-lation size and growth rate to improve theircompetitiveness.

TRADITIONAL economic thinking seespopulation as a drag on a nation’s eco-nomic growth. However, with the worldlooking towards India as a growing andvibrant market, her ‘demographic advan-tage’ is often touted as her biggest asset.

According to the theory of demograph-ic dividend, the rate of economic growthincreases due to a rising share of workingage people in a population. For India,falling fertility rates are resulting in a larg-

er chunk of working-age people, who cancontribute to the GDP and generate high-er output per capita.

In fact, the International Labour Orga-nization (ILO) has stated that India willaccount for the highest working age pop-ulation in the next 10 years, in a report re-leased recently. In the document preparedfor the G-20 Summit held earlier thismonth in Seoul, the ILO says that the G-20 nations will see their working age pop-ulation between 15 and 64 years increaseby 212 million in the period 2010-2020.Over 64% of this increase will occur in In-dia alone!

This month’s IFCIndia State DevelopmentBarometer takes a sharp look at what pop-ulation really means to the economicgrowth of India’s states and analyses howstates can use their demographic situationto improve their competitiveness, andhence, enhance their prosperity.

Rising stars among statesIt is widely accepted that growth among In-dian states is skewed, with some prosper-ous states bearing the burden of growth,while several other lag in terms of GDPgrowth and development parameters.

The average decadal GDP growth figuresshow that unexpected states such as Biharand Orissa, historically notorious for poorgrowth, have exhibited a sustained GDPgrowth rate. Bihar, specifically, is notablefor exhibiting a remarkable decadal growthrate of 10.83% while contributing on amodest population base. Bihar accountsfor 8.1% to the country’s population, asseen in the accompanying graph.

Meanwhile, states such as Maharash-tra, Goa, Punjab and Tamil Nadu, that areknown for their higher levels of industrial-isation, human development or agricul-tural prosperity seem to have slowed interms of GDP growth over the past decade.

Size does matterA large size of population appears to be aburden on the economy of states such asUttar Pradesh, Rajasthan, West Bengaland Madhya Pradesh. These states arealso usually characterised by low percapita income and higher disparities.Large population size is a major factor,

among several others, that is draggingdown the economic growth of relativelyaffluent states like Maharashtra, Kar-nataka and Tamil Nadu. Yet, a few statessuch as Bihar, Andhra Pradesh and Gu-jarat with large populations are exhibit-ing high GDP growth.

No burden on economic growthSixteen states in India have a GDP growthhigher than the national average. Ofthese, ten states show a populationgrowth rate higher than the national av-erage, while six other states have a popu-lation growth rate lower than the nation-al average.

Population growth, considered a bur-den to economic growth, seems to havelittle correlation with GDP growth (corre-lation = 0.24). Large states such as Bihar,for instance, have showed sustained GDPgrowth over the decade along with asteadily rising population, whereas statessuch as Punjab and Manipur with slowerpopulation increase are showing GDPgrowth rates that are lower than the na-tional average.

Population, a double-edged swordClearly, population is a double-edgedsword. On one hand, the data shows thatthere is no clear correlation betweengrowth in population and GDP. Yet, accord-ing to the demographic dividend theory, alarge working age population is an asset.

In order to be able to catapult theirgrowth rates, states need to look closelyat their competitiveness, which in turnis linked to their level of productivity.Improved competitiveness leads to im-proved incomes and better quality of lifeacross the board. When viewed fromthis standpoint, states will be able to de-velop strategies on how best to utilisetheir workforce — small or large, grow-ing slow or growing fast — to maximiseproductivity.Group 1: States with lower populationgrowth rates and high GDP growth rates,such as Kerala, Andhra Pradesh and Oris-sa need to look closely at the training lev-els of their workforce and create strategyto move towards high value sectors andindustries that need a more skilled work-

force, which are also correspondingly farmore productive.Group 2: States with healthy GDP andpopulation growth rates, such as Chandi-garh, Delhi, Haryana and Bihar must fo-cus on sectors where they are inherentlycompetitive because of the presence ofnatural resources or traditional skills andknowledge. These states should find waysto turn the availability of a large work-force in their favour by offering suitableeducation policies and opportunities. Set-ting the right priorities is critical to en-hance competitiveness for this band of In-dian states.Group 3: A number of states such as Kar-nataka, West Bengal, Rajasthan, TamilNadu and Mizoram are performing onlyslightly below India’s average GDPgrowth rate. These states can quickly cat-apult themselves into Group 2 with a fo-cused effort on productivity.Group 4: A roadmap for enhancing com-petitiveness is critical for poorly perform-ing states. Among these, states such as Ut-tar Pradesh and Madhya Pradesh withlarge and growing populations must con-trol the rate of population growththrough effective healthcare and out-reach efforts, as arresting populationgrowth takes time. They also need to har-ness their large growing workforce effec-tively and focus on promoting economicactivities that can employ and utilise alarge labour workforce, like certain typesof manufacturing.

Vision for the futureA look at the relationship between thepopulation and GDP growth serves tohighlight how states in various stages ofgrowth — both economic and demo-graphic — can harness their position inthe best possible manner. This is best doneby first ascertaining a state’s inherentcompetitive edge — these could be re-sources, sectors, human potential, etc —and then designing and implementingpolicy around this to achieve highly pro-ductive and efficient clusters that provideemployment, contribute to growing theGDP and bring prosperity as well.

Institute For Competitiveness

POST the crisis, the one common thread thatlinks advanced economies across the world,with perhaps the exception of the ever-prudentGermans, is the phenomenal increase in publicdebt, i.e., debt raised by governments strappedfor funds and desperate to kickstart the econo-my with stimulus packages.

Based on IMF forecasts, Eswar Prasad at Cor-nell University calculates that the level of aggre-

gate net government debt in the world will more than double from $23trillion — 44% of world GDP — in 2007 to $48 trillion — 65% of GDP— in 2015. Advanced economies account for much of this increase.

Prasad estimates the ratio of aggregate debt-to-aggregate GDP for ad-vanced economies will rise from 48% in 2007 to 71% in 2010, and fur-ther to 85% in 2015. In contrast, emerging markets (EMs) fare muchbetter. The corresponding ratios for the EM group are 30%, 30% and26% respectively. In 2007, EMs accounted for 24% of world nominalgross domestic product (GDP), in US dollars terms, and 17% of worlddebt. By 2015, they are expected to produce 35% of world output butaccount for just 14% of world debt. Thus, even as EMs increase theirshare in world GDP, their share in world debt is expected to come down.To put that more graphically, EMs will power their growth from inter-nal rather than borrowed resources.

This has two major consequences for EMs — both positive. One,they will be able to use more and more of their revenue for productivepurposes rather than for servicing debt, whether by way of interest costor repayment. Two, the distressing issue of inter-generational equitywhere succeeding generations end up paying for the profligacy of ear-lier generations will be resolved far more satisfactorily in EMs than inadvanced economies. Add to this the fact that EMs have a lower de-pendency ratio — read: larger share of population in the younger agegroup — and clearly, they are on a stronger wicket.

This is graphically brought home when the rise in debt is comparedwith the rise in GDP. EMs accounted for 10% of the rise in global debtlevels from 2007 to 2010, and could account for 13% of the rise from2010 to 2015. In contrast, their contributions to global GDP growthover these two periods are expected to be 70% and 54%, respectively.Average debt per capita in advanced economies was $19,400 in 2007,rose to $29,100 in 2010, according to the paper, and will go up to$41,000 in 2015. By 2015, the burden of debt for US citizens will rise to$48,000 per person. The debt burden for Japanese citizens will hit$75,900, the highest in the world. In contrast, China’s debt burden willbe just $1,200 in 2015. India’s, however, will be far higher at $2,013.

Among advanced economies, average debt per working-age personwill more than double from $31,700 in 2007 to $68,500 in 2015. Japantops the league tables by this measure while the US moves into secondposition by 2015 with debt per working-age person of $134,500 and$79,200, respectively.

Diehard optimists point to periods when public debt ballooned butfears of Doomsday proved ill-founded as a reason not to get perturbedabout the sharp rise in debt. But they could be living in cloud cuckooland! Borrowing like there is no tomorrow has serious — and unhappy— consequences for both their own as well as global financial stability.

The analysis paints a sobering picture of worsening public debt dyna-mics and a sharply-rising debt burden in advanced economies. It warnsthe worst is, perhaps, yet to come. First, these countries are experienc-ing little population growth. Second, they are facing rapidly aging pop-ulations. Third, their economies are likely to register slow growth, es-pecially relative to the EMs. Fourth, entitlement spending on health-care and pension could rise sharply due to unfavourable demographics.

The prescription: advanced economies had better get their fiscal acttogether once the recovery is better entrenched. It will take strong po-litical will to tackle near-term deficits and then to control the growth inentitlement spending. In the absence of decisive action, ballooningpublic debt in these economies could become a major threat to domes-tic and global financial stability.

http://www.brookings.edu/articles/2010/1101_government_debt_prasadMythili Bhusnurmath

[email protected]

Sins ofindulgence

The DIPP has clarified manycontentious issues regarding FDI,but ambiguity remains on subjectssuch as determination of pricing ofcapital instruments at issuance

THE EXPLOSION OF PUBLIC DEBT HASSERIOUS LONG-TERM REPERCUSSIONS

ANIMISHA

POLICIES THAT MAKE PRODUCTIVE USE OF AVAILABLE RESOURCES ARE CRITICAL

ARINDAM

I

INDIA

Source: IMF Fiscal Monitor, May 2010; IMF WEO, April 2010;ILO Economically-Active Population Estimates and Projections, 2009

DEBT BURDEN

Gross debt to GDP (%)Gross debt(US dollars in billions)Gross debt percapita (US dollars)Gross debt perworking-ageperson (US dollars)

79.01,080

888

1,638

77.81,164

945

1,728

70.31,400

1,092

1,954

2009 2010 2011 2014 201580.8999

833

1,548

67.31,471

1,132

2,013

ChandigarhDelhiUttarakhandHaryanaGujaratBiharChhattisgarhSikkimNagalandHimachal Pradesh

5.05

3.11

1.59

1.98

1.64

1.86

1.76

1.58

4.89

1.59

Populationgrowth ratesare HIGHERthan nationalaverage

Populationgrowth ratesare LOWERthan nationalaverage

GDP(India avg 7.99)State

Populationgrowth rate

(India avg 1.55)

13.1211.8611.8

11.6910.8

10.839.789.6

9.548.88

Andhra PradeshOrissaMeghalayaTripuraArunachal PradeshKerala

0.99

1.07

1.39

0.99

1.27

0.77

9.529.378.058.4

8.799.55

PEOPLE POWER

States contributing to India’s GDP growth(GDP growth higher than national average)

Population size vs GDP growth rate

Comparison of state population growth and GDP growth

0 500 1000Population size in lakhs

1500 2000 2500

14121086420

CH

GOTRMG

MZ

HP

JHPJ

MPAS

ANMNJK

PD

DLHRUK

SK CG KRORAR

NL

TN

APBR

KA RJWB

MH

UP

DL: DelhiCH: ChandigarhKR: KeralaTR: TripuraMG: MeghalayaPD: PuducherryKA: KarnatakaWB: West Bengal

AS: AssamNL: NagalandUK: UttarakhandHR: HaryanaGJ: GujaratCG: ChattisgarhSK: SikkimJH: Jharkhand

TN: Tamil NaduBR: BiharRJ: RajasthanGO: GoaMZ: MizoramPJ: PunjabMN: ManipurOR: Orissa

UP: Uttar PradeshAP: Andhra PradeshAR: Arunachal PradeshHP: Himachal PradeshJK: Jammu & KashmirMP: Madhya PradeshAN: Andaman & Nicobar IslandsMH: Maharashtra

0 1 2Population growth (%)

3 4 5

14121086420

AP

TR KR

WB

AS

TN

KR ORAR

MGMH

RJGO

AN

PD

JHPJJK

UPMN

MP

SK CGHP

GJ BR

UK HR DL CH

NL

GJ

MZ

JAYEETA

States can harness theirpopulation to grow

FDI policy needs some more weeding DILBERT by S Adams

POLICYTHE ECONOMIC TIMES ON SATURDAY MUMBAI 27 NOVEMBER 2010 *

SAWANT SINGH, SRIRAM RAMACHANDRAN &GAURAV SINGHI

ON MARCH 31, 2010, FOR THE FIRST TIME,the department of industrial policy andpromotion (DIPP) in the ministry of

commerce and industry put out a Consolidated FDIPolicy: Circular 1 of 2010 overriding the entire heapof press notes, circulars and clarifications issuedearlier in connection with foreign direct investment(FDI). The DIPP’s efforts in preparing Circular 1,which became effective from April 1, 2010, earnedplaudits from the industry at first, but on a closerlook, left India Inc and foreign investors high anddry, especially on issues relating to upfrontdetermination of price for capital instruments andnon-inclusion of partly-paid shares and warrantswithin the definition of ‘capital’.

To its credit, however, the DIPP has issued Consol-idated FDI Policy: Circular 2 of 2010 within sixmonths of Circular 1 and lived up to its promise byclarifying issues that had ruffled feathers in the FDIspace. We highlight a few key clarifications made inCircular 2.Death to warrants and life again: Circular 1 created animpression that there was a complete embargo on is-suance of warrants and partly-paid capitalinstruments to non-residents even if the ForeignInvestment Promotion Board (FIPB) approved it. Onthe contrary, as a matter of practice, the FIPB wasconsidering such proposals and granting approvalsafter factoring in the time limit for conversion of thewarrants and quantum of upfront consideration.

The DIPP clarified the matter in a note to thedefinition of ‘capital’ in Circular 2 by stating thatinstruments other than equity shares and fully, com-pulsorily and mandatorily convertible preferenceshares and debentures may be issued after obtainingprior government approval. This change will ensurethat, on one hand, there is some elbow room for ma-ture foreign financial investors to structure theirinvestments and, on the other, domesticundertakings need not hand over a pie of theirbusiness at a price that could potentially be higher ata future point.Soothing NBFCs: Circular 2 also partly settles the dustover downstream investment by foreign owned andcontrolled (FOCC) non-banking financial

companies (NBFCs). Reading the relevantprovisions of Circular 1 (reiterating what had beenstated in press note 4 issued in February, 2009) ledone to conclude that 100% wholly ownedsubsidiaries of the FOCC NBFCs must also meet theminimum capitalisation requirements of NBFCs.This would have made it commercially difficult forFOCC NBFCs to set up and operate differentsubsidiaries for separate activities like stock broking,housing finance etc. Much to the relief of 100%FOCC NBFCs, however, Circular 2 has explicitlystated that they will not be required to meetminimum capitalisation requirements. Speaking ofdownstream investments, there were concerns afterthe release of Circular 1 that downstreaminvestment by a FOCC could be done only through

funds from abroad and not by leveraging funds fromIndia. Fortunately, Circular 2 has stated with wellclarified that investment by internal accruals ispermitted as long as other conditions laid down inthe policy on downstream investments are fulfilled.Breather to retailers too: Since FDI in multi brand retailis prohibited, players in this market have often beenin the news for the wrong reasons, trying to use thewholesale cash-and-carry route, where100% FDI ispermitted, as a backdoor to enter the multi brand re-tail sector. In Circular 1, the government had comedown heavily on FDI in multi brand retail sectorstructure — where the ownership structure of theretail entity and the wholesale entity were keptdistinct but within the same groupcompanies/promoters and exclusive arrangementswere made between the two companies to realisecommercial value — by stating that only 25% of thetotal turnover could be traded by the wholesale enti-ty amongst the same group companies and for‘internal use’ only. However, after much cajoling,the government has provided a breather to theinfamous indirect structures by getting rid of the‘internal use’ rule.Conclusion: The DIPP deserves a pat on its back for itsexemplary efforts, some of which we have discussedabove. In recent months, the DIPP has published afew discussion papers on opening up prohibited sec-tors such as multi-brand retail and defence to FDI. Apaper has also been put up for discussion on issue ofshares for consideration other than cash, so farpermitted in certain cases such as conversion ofexternal commercial borrowings or royaltypayments). There are, nevertheless, otherambiguities in the FDI policy requiring the DIPP’s at-tention — the important ones being upfrontdetermination of price of capital instruments at thetime of issuance and treatment of FOCC Indian com-panies as non-resident entities, given the guidingprinciple in the FDI policy that downstreaminvestment by FOCC Indian companies are requiredto follow the same norms as a direct foreigninvestment. These issues have been the bones ofcontention in boardrooms and we can only hopethat they can grab the DIPP’s attention at the earliest.

(S Singh is partner, G Singhi is senior associate and SRamachandran is associate at Phoenix Legal)

9

NDIA is at the centre of the population-versus-growth debate. With the world’s second-largestpopulation at 1.2 billion, the country must fo-cus on turning this population into a benefitrather than a disadvantage. This month, welook at how states in India can use their popu-lation size and growth rate to improve theircompetitiveness.

TRADITIONAL economic thinking seespopulation as a drag on a nation’s eco-nomic growth. However, with the worldlooking towards India as a growing andvibrant market, her ‘demographic advan-tage’ is often touted as her biggest asset.

According to the theory of demograph-ic dividend, the rate of economic growthincreases due to a rising share of workingage people in a population. For India,falling fertility rates are resulting in a larg-

er chunk of working-age people, who cancontribute to the GDP and generate high-er output per capita.

In fact, the International Labour Orga-nization (ILO) has stated that India willaccount for the highest working age pop-ulation in the next 10 years, in a report re-leased recently. In the document preparedfor the G-20 Summit held earlier thismonth in Seoul, the ILO says that the G-20 nations will see their working age pop-ulation between 15 and 64 years increaseby 212 million in the period 2010-2020.Over 64% of this increase will occur in In-dia alone!

This month’s IFCIndia State DevelopmentBarometer takes a sharp look at what pop-ulation really means to the economicgrowth of India’s states and analyses howstates can use their demographic situationto improve their competitiveness, andhence, enhance their prosperity.

Rising stars among statesIt is widely accepted that growth among In-dian states is skewed, with some prosper-ous states bearing the burden of growth,while several other lag in terms of GDPgrowth and development parameters.

The average decadal GDP growth figuresshow that unexpected states such as Biharand Orissa, historically notorious for poorgrowth, have exhibited a sustained GDPgrowth rate. Bihar, specifically, is notablefor exhibiting a remarkable decadal growthrate of 10.83% while contributing on amodest population base. Bihar accountsfor 8.1% to the country’s population, asseen in the accompanying graph.

Meanwhile, states such as Maharash-tra, Goa, Punjab and Tamil Nadu, that areknown for their higher levels of industrial-isation, human development or agricul-tural prosperity seem to have slowed interms of GDP growth over the past decade.

Size does matterA large size of population appears to be aburden on the economy of states such asUttar Pradesh, Rajasthan, West Bengaland Madhya Pradesh. These states arealso usually characterised by low percapita income and higher disparities.Large population size is a major factor,

among several others, that is draggingdown the economic growth of relativelyaffluent states like Maharashtra, Kar-nataka and Tamil Nadu. Yet, a few statessuch as Bihar, Andhra Pradesh and Gu-jarat with large populations are exhibit-ing high GDP growth.

No burden on economic growthSixteen states in India have a GDP growthhigher than the national average. Ofthese, ten states show a populationgrowth rate higher than the national av-erage, while six other states have a popu-lation growth rate lower than the nation-al average.

Population growth, considered a bur-den to economic growth, seems to havelittle correlation with GDP growth (corre-lation = 0.24). Large states such as Bihar,for instance, have showed sustained GDPgrowth over the decade along with asteadily rising population, whereas statessuch as Punjab and Manipur with slowerpopulation increase are showing GDPgrowth rates that are lower than the na-tional average.

Population, a double-edged swordClearly, population is a double-edgedsword. On one hand, the data shows thatthere is no clear correlation betweengrowth in population and GDP. Yet, accord-ing to the demographic dividend theory, alarge working age population is an asset.

In order to be able to catapult theirgrowth rates, states need to look closelyat their competitiveness, which in turnis linked to their level of productivity.Improved competitiveness leads to im-proved incomes and better quality of lifeacross the board. When viewed fromthis standpoint, states will be able to de-velop strategies on how best to utilisetheir workforce — small or large, grow-ing slow or growing fast — to maximiseproductivity.Group 1: States with lower populationgrowth rates and high GDP growth rates,such as Kerala, Andhra Pradesh and Oris-sa need to look closely at the training lev-els of their workforce and create strategyto move towards high value sectors andindustries that need a more skilled work-

force, which are also correspondingly farmore productive.Group 2: States with healthy GDP andpopulation growth rates, such as Chandi-garh, Delhi, Haryana and Bihar must fo-cus on sectors where they are inherentlycompetitive because of the presence ofnatural resources or traditional skills andknowledge. These states should find waysto turn the availability of a large work-force in their favour by offering suitableeducation policies and opportunities. Set-ting the right priorities is critical to en-hance competitiveness for this band of In-dian states.Group 3: A number of states such as Kar-nataka, West Bengal, Rajasthan, TamilNadu and Mizoram are performing onlyslightly below India’s average GDPgrowth rate. These states can quickly cat-apult themselves into Group 2 with a fo-cused effort on productivity.Group 4: A roadmap for enhancing com-petitiveness is critical for poorly perform-ing states. Among these, states such as Ut-tar Pradesh and Madhya Pradesh withlarge and growing populations must con-trol the rate of population growththrough effective healthcare and out-reach efforts, as arresting populationgrowth takes time. They also need to har-ness their large growing workforce effec-tively and focus on promoting economicactivities that can employ and utilise alarge labour workforce, like certain typesof manufacturing.

Vision for the futureA look at the relationship between thepopulation and GDP growth serves tohighlight how states in various stages ofgrowth — both economic and demo-graphic — can harness their position inthe best possible manner. This is best doneby first ascertaining a state’s inherentcompetitive edge — these could be re-sources, sectors, human potential, etc —and then designing and implementingpolicy around this to achieve highly pro-ductive and efficient clusters that provideemployment, contribute to growing theGDP and bring prosperity as well.

Institute For Competitiveness

POST the crisis, the one common thread thatlinks advanced economies across the world,with perhaps the exception of the ever-prudentGermans, is the phenomenal increase in publicdebt, i.e., debt raised by governments strappedfor funds and desperate to kickstart the econo-my with stimulus packages.

Based on IMF forecasts, Eswar Prasad at Cor-nell University calculates that the level of aggre-

gate net government debt in the world will more than double from $23trillion — 44% of world GDP — in 2007 to $48 trillion — 65% of GDP— in 2015. Advanced economies account for much of this increase.

Prasad estimates the ratio of aggregate debt-to-aggregate GDP for ad-vanced economies will rise from 48% in 2007 to 71% in 2010, and fur-ther to 85% in 2015. In contrast, emerging markets (EMs) fare muchbetter. The corresponding ratios for the EM group are 30%, 30% and26% respectively. In 2007, EMs accounted for 24% of world nominalgross domestic product (GDP), in US dollars terms, and 17% of worlddebt. By 2015, they are expected to produce 35% of world output butaccount for just 14% of world debt. Thus, even as EMs increase theirshare in world GDP, their share in world debt is expected to come down.To put that more graphically, EMs will power their growth from inter-nal rather than borrowed resources.

This has two major consequences for EMs — both positive. One,they will be able to use more and more of their revenue for productivepurposes rather than for servicing debt, whether by way of interest costor repayment. Two, the distressing issue of inter-generational equitywhere succeeding generations end up paying for the profligacy of ear-lier generations will be resolved far more satisfactorily in EMs than inadvanced economies. Add to this the fact that EMs have a lower de-pendency ratio — read: larger share of population in the younger agegroup — and clearly, they are on a stronger wicket.

This is graphically brought home when the rise in debt is comparedwith the rise in GDP. EMs accounted for 10% of the rise in global debtlevels from 2007 to 2010, and could account for 13% of the rise from2010 to 2015. In contrast, their contributions to global GDP growthover these two periods are expected to be 70% and 54%, respectively.Average debt per capita in advanced economies was $19,400 in 2007,rose to $29,100 in 2010, according to the paper, and will go up to$41,000 in 2015. By 2015, the burden of debt for US citizens will rise to$48,000 per person. The debt burden for Japanese citizens will hit$75,900, the highest in the world. In contrast, China’s debt burden willbe just $1,200 in 2015. India’s, however, will be far higher at $2,013.

Among advanced economies, average debt per working-age personwill more than double from $31,700 in 2007 to $68,500 in 2015. Japantops the league tables by this measure while the US moves into secondposition by 2015 with debt per working-age person of $134,500 and$79,200, respectively.

Diehard optimists point to periods when public debt ballooned butfears of Doomsday proved ill-founded as a reason not to get perturbedabout the sharp rise in debt. But they could be living in cloud cuckooland! Borrowing like there is no tomorrow has serious — and unhappy— consequences for both their own as well as global financial stability.

The analysis paints a sobering picture of worsening public debt dyna-mics and a sharply-rising debt burden in advanced economies. It warnsthe worst is, perhaps, yet to come. First, these countries are experienc-ing little population growth. Second, they are facing rapidly aging pop-ulations. Third, their economies are likely to register slow growth, es-pecially relative to the EMs. Fourth, entitlement spending on health-care and pension could rise sharply due to unfavourable demographics.

The prescription: advanced economies had better get their fiscal acttogether once the recovery is better entrenched. It will take strong po-litical will to tackle near-term deficits and then to control the growth inentitlement spending. In the absence of decisive action, ballooningpublic debt in these economies could become a major threat to domes-tic and global financial stability.

http://www.brookings.edu/articles/2010/1101_government_debt_prasadMythili Bhusnurmath

[email protected]

Sins ofindulgence

The DIPP has clarified manycontentious issues regarding FDI,but ambiguity remains on subjectssuch as determination of pricing ofcapital instruments at issuance

THE EXPLOSION OF PUBLIC DEBT HASSERIOUS LONG-TERM REPERCUSSIONS

ANIMISHA

POLICIES THAT MAKE PRODUCTIVE USE OF AVAILABLE RESOURCES ARE CRITICAL

ARINDAM

I

INDIA

Source: IMF Fiscal Monitor, May 2010; IMF WEO, April 2010;ILO Economically-Active Population Estimates and Projections, 2009

DEBT BURDEN

Gross debt to GDP (%)Gross debt(US dollars in billions)Gross debt percapita (US dollars)Gross debt perworking-ageperson (US dollars)

79.01,080

888

1,638

77.81,164

945

1,728

70.31,400

1,092

1,954

2009 2010 2011 2014 201580.8999

833

1,548

67.31,471

1,132

2,013

ChandigarhDelhiUttarakhandHaryanaGujaratBiharChhattisgarhSikkimNagalandHimachal Pradesh

5.05

3.11

1.59

1.98

1.64

1.86

1.76

1.58

4.89

1.59

Populationgrowth ratesare HIGHERthan nationalaverage

Populationgrowth ratesare LOWERthan nationalaverage

GDP(India avg 7.99)State

Populationgrowth rate

(India avg 1.55)

13.1211.8611.8

11.6910.8

10.839.789.6

9.548.88

Andhra PradeshOrissaMeghalayaTripuraArunachal PradeshKerala

0.99

1.07

1.39

0.99

1.27

0.77

9.529.378.058.4

8.799.55

PEOPLE POWER

States contributing to India’s GDP growth(GDP growth higher than national average)

Population size vs GDP growth rate

Comparison of state population growth and GDP growth

0 500 1000Population size in lakhs

1500 2000 2500

14121086420

CH

GOTRMG

MZ

HP

JHPJ

MPAS

ANMNJK

PD

DLHRUK

SK CG KRORAR

NL

TN

APBR

KA RJWB

MH

UP

DL: DelhiCH: ChandigarhKR: KeralaTR: TripuraMG: MeghalayaPD: PuducherryKA: KarnatakaWB: West Bengal

AS: AssamNL: NagalandUK: UttarakhandHR: HaryanaGJ: GujaratCG: ChattisgarhSK: SikkimJH: Jharkhand

TN: Tamil NaduBR: BiharRJ: RajasthanGO: GoaMZ: MizoramPJ: PunjabMN: ManipurOR: Orissa

UP: Uttar PradeshAP: Andhra PradeshAR: Arunachal PradeshHP: Himachal PradeshJK: Jammu & KashmirMP: Madhya PradeshAN: Andaman & Nicobar IslandsMH: Maharashtra

0 1 2Population growth (%)

3 4 5

14121086420

AP

TR KR

WB

AS

TN

KR ORAR

MGMH

RJGO

AN

PD

JHPJJK

UPMN

MP

SK CGHP

GJ BR

UK HR DL CH

NL

GJ

MZ

JAYEETA

States can harness theirpopulation to grow

FDI policy needs some more weeding DILBERT by S Adams

Page 38: Regional and urban competitiveness   a case study for india

Ins0tute  for  Compe00veness,  India   38  

HOW INDIAN STATES PRIORITISE EDUCATION

Small states: Surging ahead; need focus Large states: Daunted, need to leverage infrastructure Higher secondary enrolment vs GDP

^ Per lakh population (in ‘000) inhigher secondary

Source: Institute for Competitiveness * %

# State govt revenue expenditure in ` ‘000 crper lakh population in education, sports, arts & culture

UttarakhandHimachal P MeghalayaTripuraHaryanaGoa Delhi Kerala

GDPgrowthState

Femaleliteracy*

11.808.888.058.40

11.697.81

11.869.55

59.6367.4259.6164.9155.7375.3774.7187.72

331141

128

No ofuniversities

Expenditure oneducation#

18.72

27.61

7.31

17.56

13.63

28.29

20.81

16.27

GDPgrowth

Femaleliteracy*

7.037.85

7.497.76

10.839.524.705.80

64.4367.03

59.6156.8733.1250.4350.2942.22

Expenditure oneducation#

13.85

24.50

14.00

14.65

7.63

12.70

16.91

6.53

Two performersTamil NM’rashtraMost daunted by educationWBKarnatakaBiharAndhra PMadhya PUttar Pradesh

Enrolment^7.62

5.71

3.17

3.51

3.57

3.82

4.01

3.35

No ofuniversities

2227

141617201929

Enrolment^

4.53

4.38

2.90

3.62

1.05

1.84

3.16

0.32Higher secondary enrolment per lakh population (‘000)

14

12

10

8

6

4

2

00 1 2 3 4 5 6 7 8

Uttarakhand

Himachal PradeshM’rashtraGoaTripura

Tamil NaduManipur

MadhyaPradesh

J&K

PunjabAssam

Jharkhand

UttarPradesh

WBMizoram

K’takaRajMeg

AP KeralaSikkim

Ch’garhOrissaAndhra

Nagaland

Bihar GujaratHaryana Delhi

THE real estate sector is extremely capital-inten-sive and its growth, to a large extent, dependson the availability of low-cost funds. Tradition-

ally, Indian developers funded projects from domes-tic sources such as friends and family, customeradvances, bank loans and so on. However, globalisa-tion has opened the floodgates for the inflow offunds from foreign sources. Sources of foreigncapital include foreign institutional investors (FIIs),foreign direct investment (FDI), private equity andreal estate funds.

The trends seen since 2005, when the real estatesector was opened up to foreign investment, indicatethat FDI could be a significant source of funds for thereal estate sector. Current FDI regulations for the sec-tor stipulate certain conditions, such as minimumarea to be developed, minimum capitalisationrequirements, lock-in and so on, that have been putin place from the perspective of preventingspeculation in the sector. Such conditions, however,pose challenges for FDI inflows into various projects,where given the nature of projects, it may not bepossible to comply with such conditions. According-ly, regulators may consider providing adequate flexi-bility in the policy framework to increase the flow ofFDI into such projects. We have highlighted some as-pects regulators should consider.

The FDI regulations currently in force allow anentity to receive FDI in construction developmentonly if the minimum built-up area of the project is50,000 square metres. Such a condition can proveunrealistic for some developers, especially those inmetro (tier-I) cities where large parcels of land aredifficult to acquire and prices are exorbitant. Butgiven the high cost of construction, projects in suchcities need foreign funds. Further, it is also unlikelythat an affordable housing project would requiremore than 50,000 square metres of development.Thus, to effectively promote affordable housingprojects, especially in tier-I cities, the minimumarea requirement for such projects in the FDI policyneed to be lowered.

Work on many projects by Indian developerscame to a grinding halt for want of funds andcustomer demand amid the global financial crisis of2008-09. The global economy is now recovering andthe work on many of these incomplete projects havepicked up. Foreign funds and investors, too, have be-

gun to show increased interest in these brownfieldprojects. Unfortunately, we have not been able tocapitalise on this opportunity as investors are notclear whether FDI is be permitted in brownfield proj-ects. Having said that, I reiterate the famous words offormer American President Thomas Jefferson: “Theprice of freedom is eternal vigilance.” Thegovernment can consider imposing certainrestrictions and allow FDI inflows into brownfieldprojects subject to specified conditions.

Further, there is no denying that real estate is acomplex sector and for any project to take-off, clear-ances are needed from multiple governmentagencies. And so, coordination between jointventure partners becomes extremely essential forsuccessful completion of projects. Many real estateprojects have failed to take-off due to the delay in ob-taining statutory clearances and conversion of landusage. In some instances, projects have failed due toconflict between joint venture partners. Therefore, itis necessary that the FDI policy for investing in realestate should provide investors exit options. The cur-rent FDI regulations provide for a three-year lock-infor each tranche of foreign investment, and earlyexit needs government approval. The process can besimplified by defining specific cases where a foreignpartner can be allowed to exit a project early withoutnecessarily seeking approval.

Recently, the government allowed development ofprojects with mixed use — development of hotel alongwith a housing/commercial complex, etc. Herein lies asource of potential conflict in interpreting regulations.The FDI policy for investment in hotels and hospitals isfar less stringent than the one for housing projects. Incase of such mixed use projects, where the majority ofbuilt-up area goes towards development of hotel orhospital, there is lack of clarity which provisions of theFDI policy would apply to the project — those for hotelsand hospital or those for housing projects. Adequateclarity under the policy, specifying applicability of regu-lations in case of mixed-use project, would be welcome.Regulators may consider providing adequate checkssuch as the nature of project licence, percentage of areaallocable for development of hotels, hospitals, etc toprevent any misuse of such relaxation.

Real estate is a key growth driver for the Indianeconomy and the industry has significantbackward and forward linkages with theeconomy. Adequate relaxation in current FDI pol-icy could foster significant opportunities forgrowth and investment in the sector. The govern-ment’s concerns about keeping a strict vigil oninflow of funds into the real estate sector is wellappreciated, but it should consider certainrelaxations to provide a fillip to FDI in the realestate sector. Adequate checks and balances canprevent misuse of these relaxations.

(Views are personal)

POLICY

DILBERT by S ADAMS

9

THE global marketplace and indeedthe world economy is changing rap-idly and these changes are impactingthe way we do business, earn a livingand grow within India as well. About

51% of India’s population is less than 25 yearsold. While this gives India a large demographicadvantage, states in India need to focus on edu-cation to ensure that an educated and appropri-ately trained/skilled workforce is ready to tapthe opportunities of the time. However, in-creased government spending on educationsince 2007 notwithstanding, 142 million chil-dren in India are denied primary and secondaryeducation and a third of the nation’s populationcannot read. Clearly, with the Indian economygrowing rapidly, fuelled by the rise of knowl-edge-intensive and hi-tech sectors like ICT, au-tomotives, pharmaceuticals and others, statesmust ensure quality education to enable Indiansreap the benefits of economic growth.

In order to understand which states in Indiaare prioritising education, we considered fourindicators — higher secondary school enrol-ment, government revenue expenditure on ed-ucation, number of universities and women’sliteracy rates. These indicators serve as goodpointers to the condition of education in a stateand impact on economic growth.

Small states target education as the recipefor growth; need more focus The hill states of Uttarakhand and HimachalPradesh will benefit from high per capita schoolenrolment figures, which are much higher thanthe national average of approximately 3,230 stu-dents per lakh people, even as their GDP growthrates are above the national average. Meghalaya,Tripura, Haryana, Goa and Delhi are other stateswith healthy GDP growth as well as school enrol-ment figures. These, except for Haryana, are alsoamong the top 10 states in terms of per capita rev-enue on education, arts and culture. This indicatesthat education is a clear priority in these states.

Women’s literacy is another dimension andthe one widely seen to have a big impact oneconomic growth. Many small states fare wellin this regard. Kerala clearly stands out withexemplary female literacy rate (87.72%). Thestate also shows healthy school enrolmentfigures, good government expenditure andadequate infrastructure.

The fact that these states are small — both ingeographical area and population — requires

them to pay attention to the quality of their hu-man resources if they have to attract investmentand successfully harness their natural endow-ments. For instance, both Uttarakhand and Hi-machal Pradesh have focused on creating indus-trial zones. The success of these industrial zonesdepends on the availability of employable talentlocally, besides power, cost of land, logistics andgovernment incentives.

From a competitiveness perspective, thesestates would need to align skills imparted bythe institutions in the state with the skills to berequired by the industry in the future. States,therefore, need to make a realistic projectionof labour that would be required by the in-dustries the state is promoting as well as bythose industries that already exist, and thenfocus on developing institutions that can trainpeople who can be placed in these industries.This is the key to enable people to avail of theopportunities within their home state, insteadof being forced to migrate to other states ormetros for employment.

Large states daunted by task of educatingmasses despite adequate infrastructureTamil Nadu and Maharashtra are the only twolarge states with good higher enrolment figures forhigher secondary school. Other large states such asWest Bengal and Karnataka, that have healthyGDP growth, and even Bihar and AndhraPradesh, that have substantially higher GDPgrowth than the national average, show poor percapita higher secondary school enrolment. Mad-hya Pradesh scores low on both counts. Largestates, with the exception of Tamil Nadu, Maha-rashtra and West Bengal, are also at the bottom ofthe list when it comes to female literacy.

Educating a large population is a challenge forbig states. If we look at the figures for govern-ment expenditure, this is evident. Large statesdo not figure among the top 10 spenders perlakh population. Yet, West Bengal spends moreon education, arts and culture than Tamil Naduand Maharashtra that show good enrolment fig-ures. Madhya Pradesh and Uttar Pradesh spendthe least per capita on education.

Ironically, these large states have the best infra-structure in the country. Uttar Pradesh has thelargest number of universities (29), followed byMaharashtra (27), Tamil Nadu (22), AndhraPradesh (20), Madhya Pradesh (19), Bihar (17),Karnataka (16) and West Bengal (14). However,the quality of education imparted by these institu-tions is a matter of concern. States such as MadhyaPradesh and Uttar Pradesh are neither able to ad-equately fund their educational institutions, norretain quality faculty. Inadequate employmentopportunities for graduates further strengthen thecycle of out-migration, leaving such states bereft oftheir knowledge workers and lowering the moti-vation for profit-making corporations to invest inthese locations. This has, however, been changingin specific cities where centres of learning, corpo-rate will and attractive location factors are fuellingclusters of industry in specific verticals. Bangalorein Karnataka has emerged as a hub for the IT in-dustry and so has Hyderabad in Andhra Pradesh.Uttar Pradesh has world-class institutions like theIndian Institute of Technology at Kanpur, IndianInstitute of Management at Lucknow and the Ba-naras Hindu University at Varanasi, but has beenunable to develop industries around these to har-ness the resident knowledge from these placesand employ the graduates. The standards of state-level universities that attract local students mustalso be simultaneously raised while local employ-ment opportunities are created.

Low-performing states need urgent inter-vention to progressSome of the small and mid-sized states that donot fare so well need specific intervention.Chhattisgarh, Orissa, Gujarat and Nagalandhave poor higher secondary school enrolmentsdespite moderate and high GDP growth. Jhark-hand, Punjab and Assam have low GDP growthrates and low school enrolment. Other than Na-galand, Punjab and Gujarat, these are also thestates with low female literacy.

Rajasthan is on the cusp of both GDP growthand school enrolment. However, Rajasthan hassurprisingly high government expenditure oneducation, showing that the state has prioritisededucation and is determined to cross over into abetter performer in the next decade. States suchas Chhattisgarh and Jharkand, which do nothave a single university yet, need to urgentlycreate the right infrastructure to raise their hu-man capacity and attract investment.

Long-term benefits on the horizonStates need to focus on the benefits that educa-tion provides in the long term. A literate popula-tion results in controlled population growthrates over time. High-quality workforce will al-low states to boost economic growth by focusingon more sophisticated and value-added indus-tries and services instead of merely continuingto invite investment in basic manufacturing andservice activities.

The increased productivity that a trainedworkforce can deliver results in enhanced pros-perity and better distribution of wealth, whichare the ultimate goals of governments and pri-vate sector corporations alike.

Institute for Competitiveness

WHENwritten in Chinese, the word “crisis” iscomposed of two characters — one representsdanger, and the other represents opportunity,noted the young president who inspired awhole generation. That was then, in the hal-cyon days of the 1960s. Fast-forward to thehere and now, and a panoply of working pa-pers and books on the financial crisis of 2007-09 has since been authored by westerners,

and which generally call for revamped regulation and broadermacroeconomic oversight. The regional bias is understandable: thecrisis was home-grown in the US thanks to dodgy, mortgage-backed financial products.

But the crisis did precipitate a global recession, and there have beenfew Asian perspectives on the developments. Until now. A new book,which contains a bouquet of policy-relevant essays by a leading ana-lyst affiliated with a prominent think-tank in Penang, Malaysia, seeksto address the challenges for Asia. The study is categorical that inboosting domestic consumption as an alternative to exports-ledgrowth, Asian economies should not follow the ‘Anglo-Saxon mod-el of pumping up domestic consumption through debt creation’. Itadds that Malaysia’s Gini coefficient, a measure of income inequality,at 49, is higher than that in the US. Also, 60% of the former’s house-holds earn only about $900 per month. And without increased in-comes and improved income and wealth distribution, merely ‘pump-ing up consumption through debt creation could take it down thesame path as the US,’ it is opined.

The study, which has a forward by Dr Y V Reddy, former RBI gov-ernor, who mentions that it is lucidly written, easy to read and simpleto understand. Next, that it captures current history, context and theway forward. Further, that it elaborates upon financial theory and ‘fo-cuses on policies and institutions rather than abstract thinking or an-ecdotes’. Also, that it offers an emerging market insight, while pre-senting in detail the debates on the subject in the western, particular-ly Anglo-Saxon, world. Dr Reddy has called for supplementing theanalysis in the text with more discussion on economic integration be-tween Japan, China, Southeast Asia and South Asia, in particular In-dia. In sum, the expert view is that the study has several original ele-ments explaining recent developments in financial markets and theattendant policy measures.

For example, there’s much reference in the study to the efficientmarket hypothesis (the idea that asset prices always and everywhere re-flect true value), which it is noted, governed public policies in generaland the stance of key central bankers and regulators in particular. Thehypothesis is seen as the primary cause of the crisis. In the run-up to thecrisis, prominent market participants asserted that ‘interfering withmarket-determined pricing of risks would be a serious policy mistake’.Yet, ‘these same people’, the study mentions, ironically pleaded andprobably lobbied for massive government intervention in the form offiscal stimulus packages, within months of asserting very much to thecontrary, once the crisis struck and there was a virtual credit freeze.

By 2009, the world had pumped in $12 trillion of stimulus pro-grammes to boost growth, and several mature economies in Europehave since opted for budgetary austerity measures and fiscal belt-tight-ening. So, things remain in a state of flux. For a big picture snap-shot,the study dwells at length on the ‘three contested terrains’. It avers thatthe financial crisis should be seen as a contest for hegemony in three ar-eas. At one level, what’s underlined is the continued political and eco-nomic dominance of the international monetary system by the US. Inparallel, there’s the attempt for continued dominance of the financialsector over the real economy. And in tandem, a contest for continua-tion of intellectual dominance by neoliberals and market enthusiasts.

The paper mentions that as the dollar remains the dominant inter-national currency, seigniorage, the ability to print money to pay yourliabilities, confers on the US the ability, in effect, to borrow and repaywithout limits, which is hugely distortionary. The emergence of co-anchor currencies would take time, it is opined. Going forward, poli-cymakers need to draw the right lessons from the great crisis and im-plement meaningful financial sector reforms, both nationally and forcross-border transactions, and not simply tinker with the system, con-cludes the study on a hopeful note.

(Nowhere to Hide, Chapter 6 The Three Contested Terrains, by MichaelLim Mah-Hui, Institute of Southeast Asian Studies, 2010)

Jaideep Mishra

[email protected]

Adequate relaxation in the currentforeign investment policy couldfoster significant opportunities forgrowth and investment in the real estate sector

Real estate sector needs FDI fillip

DEMOGRAPHIC ADVANTAGE

Focus on higher education to leverage

Financialcrisis & Asiandilemmas

States need to improvethe efficiency of

spending on educationand the quality of

teaching at schoolsand universities

AJIT KRISHNANTax Partner, Ernst & Young

ARINDAM

THE ECONOMIC TIMES ON SATURDAY NEW DELHI 25 DECEMBER 2010

HOW INDIAN STATES PRIORITISE EDUCATION

Small states: Surging ahead; need focus Large states: Daunted, need to leverage infrastructure Higher secondary enrolment vs GDP

^ Per lakh population (in ‘000) inhigher secondary

Source: Institute for Competitiveness * %

# State govt revenue expenditure in ` ‘000 crper lakh population in education, sports, arts & culture

UttarakhandHimachal P MeghalayaTripuraHaryanaGoa Delhi Kerala

GDPgrowthState

Femaleliteracy*

11.808.888.058.40

11.697.81

11.869.55

59.6367.4259.6164.9155.7375.3774.7187.72

331141

128

No ofuniversities

Expenditure oneducation#

18.72

27.61

7.31

17.56

13.63

28.29

20.81

16.27

GDPgrowth

Femaleliteracy*

7.037.85

7.497.76

10.839.524.705.80

64.4367.03

59.6156.8733.1250.4350.2942.22

Expenditure oneducation#

13.85

24.50

14.00

14.65

7.63

12.70

16.91

6.53

Two performersTamil NM’rashtraMost daunted by educationWBKarnatakaBiharAndhra PMadhya PUttar Pradesh

Enrolment^7.62

5.71

3.17

3.51

3.57

3.82

4.01

3.35

No ofuniversities

2227

141617201929

Enrolment^

4.53

4.38

2.90

3.62

1.05

1.84

3.16

0.32Higher secondary enrolment per lakh population (‘000)

14

12

10

8

6

4

2

00 1 2 3 4 5 6 7 8

Uttarakhand

Himachal PradeshM’rashtraGoaTripura

Tamil NaduManipur

MadhyaPradesh

J&K

PunjabAssam

Jharkhand

UttarPradesh

WBMizoram

K’takaRajMeg

AP KeralaSikkim

Ch’garhOrissaAndhra

Nagaland

Bihar GujaratHaryana Delhi

THE real estate sector is extremely capital-inten-sive and its growth, to a large extent, dependson the availability of low-cost funds. Tradition-

ally, Indian developers funded projects from domes-tic sources such as friends and family, customeradvances, bank loans and so on. However, globalisa-tion has opened the floodgates for the inflow offunds from foreign sources. Sources of foreigncapital include foreign institutional investors (FIIs),foreign direct investment (FDI), private equity andreal estate funds.

The trends seen since 2005, when the real estatesector was opened up to foreign investment, indicatethat FDI could be a significant source of funds for thereal estate sector. Current FDI regulations for the sec-tor stipulate certain conditions, such as minimumarea to be developed, minimum capitalisationrequirements, lock-in and so on, that have been putin place from the perspective of preventingspeculation in the sector. Such conditions, however,pose challenges for FDI inflows into various projects,where given the nature of projects, it may not bepossible to comply with such conditions. According-ly, regulators may consider providing adequate flexi-bility in the policy framework to increase the flow ofFDI into such projects. We have highlighted some as-pects regulators should consider.

The FDI regulations currently in force allow anentity to receive FDI in construction developmentonly if the minimum built-up area of the project is50,000 square metres. Such a condition can proveunrealistic for some developers, especially those inmetro (tier-I) cities where large parcels of land aredifficult to acquire and prices are exorbitant. Butgiven the high cost of construction, projects in suchcities need foreign funds. Further, it is also unlikelythat an affordable housing project would requiremore than 50,000 square metres of development.Thus, to effectively promote affordable housingprojects, especially in tier-I cities, the minimumarea requirement for such projects in the FDI policyneed to be lowered.

Work on many projects by Indian developerscame to a grinding halt for want of funds andcustomer demand amid the global financial crisis of2008-09. The global economy is now recovering andthe work on many of these incomplete projects havepicked up. Foreign funds and investors, too, have be-

gun to show increased interest in these brownfieldprojects. Unfortunately, we have not been able tocapitalise on this opportunity as investors are notclear whether FDI is be permitted in brownfield proj-ects. Having said that, I reiterate the famous words offormer American President Thomas Jefferson: “Theprice of freedom is eternal vigilance.” Thegovernment can consider imposing certainrestrictions and allow FDI inflows into brownfieldprojects subject to specified conditions.

Further, there is no denying that real estate is acomplex sector and for any project to take-off, clear-ances are needed from multiple governmentagencies. And so, coordination between jointventure partners becomes extremely essential forsuccessful completion of projects. Many real estateprojects have failed to take-off due to the delay in ob-taining statutory clearances and conversion of landusage. In some instances, projects have failed due toconflict between joint venture partners. Therefore, itis necessary that the FDI policy for investing in realestate should provide investors exit options. The cur-rent FDI regulations provide for a three-year lock-infor each tranche of foreign investment, and earlyexit needs government approval. The process can besimplified by defining specific cases where a foreignpartner can be allowed to exit a project early withoutnecessarily seeking approval.

Recently, the government allowed development ofprojects with mixed use — development of hotel alongwith a housing/commercial complex, etc. Herein lies asource of potential conflict in interpreting regulations.The FDI policy for investment in hotels and hospitals isfar less stringent than the one for housing projects. Incase of such mixed use projects, where the majority ofbuilt-up area goes towards development of hotel orhospital, there is lack of clarity which provisions of theFDI policy would apply to the project — those for hotelsand hospital or those for housing projects. Adequateclarity under the policy, specifying applicability of regu-lations in case of mixed-use project, would be welcome.Regulators may consider providing adequate checkssuch as the nature of project licence, percentage of areaallocable for development of hotels, hospitals, etc toprevent any misuse of such relaxation.

Real estate is a key growth driver for the Indianeconomy and the industry has significantbackward and forward linkages with theeconomy. Adequate relaxation in current FDI pol-icy could foster significant opportunities forgrowth and investment in the sector. The govern-ment’s concerns about keeping a strict vigil oninflow of funds into the real estate sector is wellappreciated, but it should consider certainrelaxations to provide a fillip to FDI in the realestate sector. Adequate checks and balances canprevent misuse of these relaxations.

(Views are personal)

POLICY

DILBERT by S ADAMS

9

THE global marketplace and indeedthe world economy is changing rap-idly and these changes are impactingthe way we do business, earn a livingand grow within India as well. About

51% of India’s population is less than 25 yearsold. While this gives India a large demographicadvantage, states in India need to focus on edu-cation to ensure that an educated and appropri-ately trained/skilled workforce is ready to tapthe opportunities of the time. However, in-creased government spending on educationsince 2007 notwithstanding, 142 million chil-dren in India are denied primary and secondaryeducation and a third of the nation’s populationcannot read. Clearly, with the Indian economygrowing rapidly, fuelled by the rise of knowl-edge-intensive and hi-tech sectors like ICT, au-tomotives, pharmaceuticals and others, statesmust ensure quality education to enable Indiansreap the benefits of economic growth.

In order to understand which states in Indiaare prioritising education, we considered fourindicators — higher secondary school enrol-ment, government revenue expenditure on ed-ucation, number of universities and women’sliteracy rates. These indicators serve as goodpointers to the condition of education in a stateand impact on economic growth.

Small states target education as the recipefor growth; need more focus The hill states of Uttarakhand and HimachalPradesh will benefit from high per capita schoolenrolment figures, which are much higher thanthe national average of approximately 3,230 stu-dents per lakh people, even as their GDP growthrates are above the national average. Meghalaya,Tripura, Haryana, Goa and Delhi are other stateswith healthy GDP growth as well as school enrol-ment figures. These, except for Haryana, are alsoamong the top 10 states in terms of per capita rev-enue on education, arts and culture. This indicatesthat education is a clear priority in these states.

Women’s literacy is another dimension andthe one widely seen to have a big impact oneconomic growth. Many small states fare wellin this regard. Kerala clearly stands out withexemplary female literacy rate (87.72%). Thestate also shows healthy school enrolmentfigures, good government expenditure andadequate infrastructure.

The fact that these states are small — both ingeographical area and population — requires

them to pay attention to the quality of their hu-man resources if they have to attract investmentand successfully harness their natural endow-ments. For instance, both Uttarakhand and Hi-machal Pradesh have focused on creating indus-trial zones. The success of these industrial zonesdepends on the availability of employable talentlocally, besides power, cost of land, logistics andgovernment incentives.

From a competitiveness perspective, thesestates would need to align skills imparted bythe institutions in the state with the skills to berequired by the industry in the future. States,therefore, need to make a realistic projectionof labour that would be required by the in-dustries the state is promoting as well as bythose industries that already exist, and thenfocus on developing institutions that can trainpeople who can be placed in these industries.This is the key to enable people to avail of theopportunities within their home state, insteadof being forced to migrate to other states ormetros for employment.

Large states daunted by task of educatingmasses despite adequate infrastructureTamil Nadu and Maharashtra are the only twolarge states with good higher enrolment figures forhigher secondary school. Other large states such asWest Bengal and Karnataka, that have healthyGDP growth, and even Bihar and AndhraPradesh, that have substantially higher GDPgrowth than the national average, show poor percapita higher secondary school enrolment. Mad-hya Pradesh scores low on both counts. Largestates, with the exception of Tamil Nadu, Maha-rashtra and West Bengal, are also at the bottom ofthe list when it comes to female literacy.

Educating a large population is a challenge forbig states. If we look at the figures for govern-ment expenditure, this is evident. Large statesdo not figure among the top 10 spenders perlakh population. Yet, West Bengal spends moreon education, arts and culture than Tamil Naduand Maharashtra that show good enrolment fig-ures. Madhya Pradesh and Uttar Pradesh spendthe least per capita on education.

Ironically, these large states have the best infra-structure in the country. Uttar Pradesh has thelargest number of universities (29), followed byMaharashtra (27), Tamil Nadu (22), AndhraPradesh (20), Madhya Pradesh (19), Bihar (17),Karnataka (16) and West Bengal (14). However,the quality of education imparted by these institu-tions is a matter of concern. States such as MadhyaPradesh and Uttar Pradesh are neither able to ad-equately fund their educational institutions, norretain quality faculty. Inadequate employmentopportunities for graduates further strengthen thecycle of out-migration, leaving such states bereft oftheir knowledge workers and lowering the moti-vation for profit-making corporations to invest inthese locations. This has, however, been changingin specific cities where centres of learning, corpo-rate will and attractive location factors are fuellingclusters of industry in specific verticals. Bangalorein Karnataka has emerged as a hub for the IT in-dustry and so has Hyderabad in Andhra Pradesh.Uttar Pradesh has world-class institutions like theIndian Institute of Technology at Kanpur, IndianInstitute of Management at Lucknow and the Ba-naras Hindu University at Varanasi, but has beenunable to develop industries around these to har-ness the resident knowledge from these placesand employ the graduates. The standards of state-level universities that attract local students mustalso be simultaneously raised while local employ-ment opportunities are created.

Low-performing states need urgent inter-vention to progressSome of the small and mid-sized states that donot fare so well need specific intervention.Chhattisgarh, Orissa, Gujarat and Nagalandhave poor higher secondary school enrolmentsdespite moderate and high GDP growth. Jhark-hand, Punjab and Assam have low GDP growthrates and low school enrolment. Other than Na-galand, Punjab and Gujarat, these are also thestates with low female literacy.

Rajasthan is on the cusp of both GDP growthand school enrolment. However, Rajasthan hassurprisingly high government expenditure oneducation, showing that the state has prioritisededucation and is determined to cross over into abetter performer in the next decade. States suchas Chhattisgarh and Jharkand, which do nothave a single university yet, need to urgentlycreate the right infrastructure to raise their hu-man capacity and attract investment.

Long-term benefits on the horizonStates need to focus on the benefits that educa-tion provides in the long term. A literate popula-tion results in controlled population growthrates over time. High-quality workforce will al-low states to boost economic growth by focusingon more sophisticated and value-added indus-tries and services instead of merely continuingto invite investment in basic manufacturing andservice activities.

The increased productivity that a trainedworkforce can deliver results in enhanced pros-perity and better distribution of wealth, whichare the ultimate goals of governments and pri-vate sector corporations alike.

Institute for Competitiveness

WHENwritten in Chinese, the word “crisis” iscomposed of two characters — one representsdanger, and the other represents opportunity,noted the young president who inspired awhole generation. That was then, in the hal-cyon days of the 1960s. Fast-forward to thehere and now, and a panoply of working pa-pers and books on the financial crisis of 2007-09 has since been authored by westerners,

and which generally call for revamped regulation and broadermacroeconomic oversight. The regional bias is understandable: thecrisis was home-grown in the US thanks to dodgy, mortgage-backed financial products.

But the crisis did precipitate a global recession, and there have beenfew Asian perspectives on the developments. Until now. A new book,which contains a bouquet of policy-relevant essays by a leading ana-lyst affiliated with a prominent think-tank in Penang, Malaysia, seeksto address the challenges for Asia. The study is categorical that inboosting domestic consumption as an alternative to exports-ledgrowth, Asian economies should not follow the ‘Anglo-Saxon mod-el of pumping up domestic consumption through debt creation’. Itadds that Malaysia’s Gini coefficient, a measure of income inequality,at 49, is higher than that in the US. Also, 60% of the former’s house-holds earn only about $900 per month. And without increased in-comes and improved income and wealth distribution, merely ‘pump-ing up consumption through debt creation could take it down thesame path as the US,’ it is opined.

The study, which has a forward by Dr Y V Reddy, former RBI gov-ernor, who mentions that it is lucidly written, easy to read and simpleto understand. Next, that it captures current history, context and theway forward. Further, that it elaborates upon financial theory and ‘fo-cuses on policies and institutions rather than abstract thinking or an-ecdotes’. Also, that it offers an emerging market insight, while pre-senting in detail the debates on the subject in the western, particular-ly Anglo-Saxon, world. Dr Reddy has called for supplementing theanalysis in the text with more discussion on economic integration be-tween Japan, China, Southeast Asia and South Asia, in particular In-dia. In sum, the expert view is that the study has several original ele-ments explaining recent developments in financial markets and theattendant policy measures.

For example, there’s much reference in the study to the efficientmarket hypothesis (the idea that asset prices always and everywhere re-flect true value), which it is noted, governed public policies in generaland the stance of key central bankers and regulators in particular. Thehypothesis is seen as the primary cause of the crisis. In the run-up to thecrisis, prominent market participants asserted that ‘interfering withmarket-determined pricing of risks would be a serious policy mistake’.Yet, ‘these same people’, the study mentions, ironically pleaded andprobably lobbied for massive government intervention in the form offiscal stimulus packages, within months of asserting very much to thecontrary, once the crisis struck and there was a virtual credit freeze.

By 2009, the world had pumped in $12 trillion of stimulus pro-grammes to boost growth, and several mature economies in Europehave since opted for budgetary austerity measures and fiscal belt-tight-ening. So, things remain in a state of flux. For a big picture snap-shot,the study dwells at length on the ‘three contested terrains’. It avers thatthe financial crisis should be seen as a contest for hegemony in three ar-eas. At one level, what’s underlined is the continued political and eco-nomic dominance of the international monetary system by the US. Inparallel, there’s the attempt for continued dominance of the financialsector over the real economy. And in tandem, a contest for continua-tion of intellectual dominance by neoliberals and market enthusiasts.

The paper mentions that as the dollar remains the dominant inter-national currency, seigniorage, the ability to print money to pay yourliabilities, confers on the US the ability, in effect, to borrow and repaywithout limits, which is hugely distortionary. The emergence of co-anchor currencies would take time, it is opined. Going forward, poli-cymakers need to draw the right lessons from the great crisis and im-plement meaningful financial sector reforms, both nationally and forcross-border transactions, and not simply tinker with the system, con-cludes the study on a hopeful note.

(Nowhere to Hide, Chapter 6 The Three Contested Terrains, by MichaelLim Mah-Hui, Institute of Southeast Asian Studies, 2010)

Jaideep Mishra

[email protected]

Adequate relaxation in the currentforeign investment policy couldfoster significant opportunities forgrowth and investment in the real estate sector

Real estate sector needs FDI fillip

DEMOGRAPHIC ADVANTAGE

Focus on higher education to leverage

Financialcrisis & Asiandilemmas

States need to improvethe efficiency of

spending on educationand the quality of

teaching at schoolsand universities

AJIT KRISHNANTax Partner, Ernst & Young

ARINDAM

THE ECONOMIC TIMES ON SATURDAY NEW DELHI 25 DECEMBER 2010

Page 39: Regional and urban competitiveness   a case study for india
Page 40: Regional and urban competitiveness   a case study for india

Ins0tute  for  Compe00veness,  India   40  

HOW INDIAN STATES PRIORITISE EDUCATION

Small states: Surging ahead; need focus Large states: Daunted, need to leverage infrastructure Higher secondary enrolment vs GDP

^ Per lakh population (in ‘000) inhigher secondary

Source: Institute for Competitiveness * %

# State govt revenue expenditure in ` ‘000 crper lakh population in education, sports, arts & culture

UttarakhandHimachal P MeghalayaTripuraHaryanaGoa Delhi Kerala

GDPgrowthState

Femaleliteracy*

11.808.888.058.40

11.697.81

11.869.55

59.6367.4259.6164.9155.7375.3774.7187.72

331141

128

No ofuniversities

Expenditure oneducation#

18.72

27.61

7.31

17.56

13.63

28.29

20.81

16.27

GDPgrowth

Femaleliteracy*

7.037.85

7.497.76

10.839.524.705.80

64.4367.03

59.6156.8733.1250.4350.2942.22

Expenditure oneducation#

13.85

24.50

14.00

14.65

7.63

12.70

16.91

6.53

Two performersTamil NM’rashtraMost daunted by educationWBKarnatakaBiharAndhra PMadhya PUttar Pradesh

Enrolment^7.62

5.71

3.17

3.51

3.57

3.82

4.01

3.35

No ofuniversities

2227

141617201929

Enrolment^

4.53

4.38

2.90

3.62

1.05

1.84

3.16

0.32Higher secondary enrolment per lakh population (‘000)

14

12

10

8

6

4

2

00 1 2 3 4 5 6 7 8

Uttarakhand

Himachal PradeshM’rashtraGoaTripura

Tamil NaduManipur

MadhyaPradesh

J&K

PunjabAssam

Jharkhand

UttarPradesh

WBMizoram

K’takaRajMeg

AP KeralaSikkim

Ch’garhOrissaAndhra

Nagaland

Bihar GujaratHaryana Delhi

THE real estate sector is extremely capital-inten-sive and its growth, to a large extent, dependson the availability of low-cost funds. Tradition-

ally, Indian developers funded projects from domes-tic sources such as friends and family, customeradvances, bank loans and so on. However, globalisa-tion has opened the floodgates for the inflow offunds from foreign sources. Sources of foreigncapital include foreign institutional investors (FIIs),foreign direct investment (FDI), private equity andreal estate funds.

The trends seen since 2005, when the real estatesector was opened up to foreign investment, indicatethat FDI could be a significant source of funds for thereal estate sector. Current FDI regulations for the sec-tor stipulate certain conditions, such as minimumarea to be developed, minimum capitalisationrequirements, lock-in and so on, that have been putin place from the perspective of preventingspeculation in the sector. Such conditions, however,pose challenges for FDI inflows into various projects,where given the nature of projects, it may not bepossible to comply with such conditions. According-ly, regulators may consider providing adequate flexi-bility in the policy framework to increase the flow ofFDI into such projects. We have highlighted some as-pects regulators should consider.

The FDI regulations currently in force allow anentity to receive FDI in construction developmentonly if the minimum built-up area of the project is50,000 square metres. Such a condition can proveunrealistic for some developers, especially those inmetro (tier-I) cities where large parcels of land aredifficult to acquire and prices are exorbitant. Butgiven the high cost of construction, projects in suchcities need foreign funds. Further, it is also unlikelythat an affordable housing project would requiremore than 50,000 square metres of development.Thus, to effectively promote affordable housingprojects, especially in tier-I cities, the minimumarea requirement for such projects in the FDI policyneed to be lowered.

Work on many projects by Indian developerscame to a grinding halt for want of funds andcustomer demand amid the global financial crisis of2008-09. The global economy is now recovering andthe work on many of these incomplete projects havepicked up. Foreign funds and investors, too, have be-

gun to show increased interest in these brownfieldprojects. Unfortunately, we have not been able tocapitalise on this opportunity as investors are notclear whether FDI is be permitted in brownfield proj-ects. Having said that, I reiterate the famous words offormer American President Thomas Jefferson: “Theprice of freedom is eternal vigilance.” Thegovernment can consider imposing certainrestrictions and allow FDI inflows into brownfieldprojects subject to specified conditions.

Further, there is no denying that real estate is acomplex sector and for any project to take-off, clear-ances are needed from multiple governmentagencies. And so, coordination between jointventure partners becomes extremely essential forsuccessful completion of projects. Many real estateprojects have failed to take-off due to the delay in ob-taining statutory clearances and conversion of landusage. In some instances, projects have failed due toconflict between joint venture partners. Therefore, itis necessary that the FDI policy for investing in realestate should provide investors exit options. The cur-rent FDI regulations provide for a three-year lock-infor each tranche of foreign investment, and earlyexit needs government approval. The process can besimplified by defining specific cases where a foreignpartner can be allowed to exit a project early withoutnecessarily seeking approval.

Recently, the government allowed development ofprojects with mixed use — development of hotel alongwith a housing/commercial complex, etc. Herein lies asource of potential conflict in interpreting regulations.The FDI policy for investment in hotels and hospitals isfar less stringent than the one for housing projects. Incase of such mixed use projects, where the majority ofbuilt-up area goes towards development of hotel orhospital, there is lack of clarity which provisions of theFDI policy would apply to the project — those for hotelsand hospital or those for housing projects. Adequateclarity under the policy, specifying applicability of regu-lations in case of mixed-use project, would be welcome.Regulators may consider providing adequate checkssuch as the nature of project licence, percentage of areaallocable for development of hotels, hospitals, etc toprevent any misuse of such relaxation.

Real estate is a key growth driver for the Indianeconomy and the industry has significantbackward and forward linkages with theeconomy. Adequate relaxation in current FDI pol-icy could foster significant opportunities forgrowth and investment in the sector. The govern-ment’s concerns about keeping a strict vigil oninflow of funds into the real estate sector is wellappreciated, but it should consider certainrelaxations to provide a fillip to FDI in the realestate sector. Adequate checks and balances canprevent misuse of these relaxations.

(Views are personal)

POLICY

DILBERT by S ADAMS

9

THE global marketplace and indeedthe world economy is changing rap-idly and these changes are impactingthe way we do business, earn a livingand grow within India as well. About

51% of India’s population is less than 25 yearsold. While this gives India a large demographicadvantage, states in India need to focus on edu-cation to ensure that an educated and appropri-ately trained/skilled workforce is ready to tapthe opportunities of the time. However, in-creased government spending on educationsince 2007 notwithstanding, 142 million chil-dren in India are denied primary and secondaryeducation and a third of the nation’s populationcannot read. Clearly, with the Indian economygrowing rapidly, fuelled by the rise of knowl-edge-intensive and hi-tech sectors like ICT, au-tomotives, pharmaceuticals and others, statesmust ensure quality education to enable Indiansreap the benefits of economic growth.

In order to understand which states in Indiaare prioritising education, we considered fourindicators — higher secondary school enrol-ment, government revenue expenditure on ed-ucation, number of universities and women’sliteracy rates. These indicators serve as goodpointers to the condition of education in a stateand impact on economic growth.

Small states target education as the recipefor growth; need more focus The hill states of Uttarakhand and HimachalPradesh will benefit from high per capita schoolenrolment figures, which are much higher thanthe national average of approximately 3,230 stu-dents per lakh people, even as their GDP growthrates are above the national average. Meghalaya,Tripura, Haryana, Goa and Delhi are other stateswith healthy GDP growth as well as school enrol-ment figures. These, except for Haryana, are alsoamong the top 10 states in terms of per capita rev-enue on education, arts and culture. This indicatesthat education is a clear priority in these states.

Women’s literacy is another dimension andthe one widely seen to have a big impact oneconomic growth. Many small states fare wellin this regard. Kerala clearly stands out withexemplary female literacy rate (87.72%). Thestate also shows healthy school enrolmentfigures, good government expenditure andadequate infrastructure.

The fact that these states are small — both ingeographical area and population — requires

them to pay attention to the quality of their hu-man resources if they have to attract investmentand successfully harness their natural endow-ments. For instance, both Uttarakhand and Hi-machal Pradesh have focused on creating indus-trial zones. The success of these industrial zonesdepends on the availability of employable talentlocally, besides power, cost of land, logistics andgovernment incentives.

From a competitiveness perspective, thesestates would need to align skills imparted bythe institutions in the state with the skills to berequired by the industry in the future. States,therefore, need to make a realistic projectionof labour that would be required by the in-dustries the state is promoting as well as bythose industries that already exist, and thenfocus on developing institutions that can trainpeople who can be placed in these industries.This is the key to enable people to avail of theopportunities within their home state, insteadof being forced to migrate to other states ormetros for employment.

Large states daunted by task of educatingmasses despite adequate infrastructureTamil Nadu and Maharashtra are the only twolarge states with good higher enrolment figures forhigher secondary school. Other large states such asWest Bengal and Karnataka, that have healthyGDP growth, and even Bihar and AndhraPradesh, that have substantially higher GDPgrowth than the national average, show poor percapita higher secondary school enrolment. Mad-hya Pradesh scores low on both counts. Largestates, with the exception of Tamil Nadu, Maha-rashtra and West Bengal, are also at the bottom ofthe list when it comes to female literacy.

Educating a large population is a challenge forbig states. If we look at the figures for govern-ment expenditure, this is evident. Large statesdo not figure among the top 10 spenders perlakh population. Yet, West Bengal spends moreon education, arts and culture than Tamil Naduand Maharashtra that show good enrolment fig-ures. Madhya Pradesh and Uttar Pradesh spendthe least per capita on education.

Ironically, these large states have the best infra-structure in the country. Uttar Pradesh has thelargest number of universities (29), followed byMaharashtra (27), Tamil Nadu (22), AndhraPradesh (20), Madhya Pradesh (19), Bihar (17),Karnataka (16) and West Bengal (14). However,the quality of education imparted by these institu-tions is a matter of concern. States such as MadhyaPradesh and Uttar Pradesh are neither able to ad-equately fund their educational institutions, norretain quality faculty. Inadequate employmentopportunities for graduates further strengthen thecycle of out-migration, leaving such states bereft oftheir knowledge workers and lowering the moti-vation for profit-making corporations to invest inthese locations. This has, however, been changingin specific cities where centres of learning, corpo-rate will and attractive location factors are fuellingclusters of industry in specific verticals. Bangalorein Karnataka has emerged as a hub for the IT in-dustry and so has Hyderabad in Andhra Pradesh.Uttar Pradesh has world-class institutions like theIndian Institute of Technology at Kanpur, IndianInstitute of Management at Lucknow and the Ba-naras Hindu University at Varanasi, but has beenunable to develop industries around these to har-ness the resident knowledge from these placesand employ the graduates. The standards of state-level universities that attract local students mustalso be simultaneously raised while local employ-ment opportunities are created.

Low-performing states need urgent inter-vention to progressSome of the small and mid-sized states that donot fare so well need specific intervention.Chhattisgarh, Orissa, Gujarat and Nagalandhave poor higher secondary school enrolmentsdespite moderate and high GDP growth. Jhark-hand, Punjab and Assam have low GDP growthrates and low school enrolment. Other than Na-galand, Punjab and Gujarat, these are also thestates with low female literacy.

Rajasthan is on the cusp of both GDP growthand school enrolment. However, Rajasthan hassurprisingly high government expenditure oneducation, showing that the state has prioritisededucation and is determined to cross over into abetter performer in the next decade. States suchas Chhattisgarh and Jharkand, which do nothave a single university yet, need to urgentlycreate the right infrastructure to raise their hu-man capacity and attract investment.

Long-term benefits on the horizonStates need to focus on the benefits that educa-tion provides in the long term. A literate popula-tion results in controlled population growthrates over time. High-quality workforce will al-low states to boost economic growth by focusingon more sophisticated and value-added indus-tries and services instead of merely continuingto invite investment in basic manufacturing andservice activities.

The increased productivity that a trainedworkforce can deliver results in enhanced pros-perity and better distribution of wealth, whichare the ultimate goals of governments and pri-vate sector corporations alike.

Institute for Competitiveness

WHENwritten in Chinese, the word “crisis” iscomposed of two characters — one representsdanger, and the other represents opportunity,noted the young president who inspired awhole generation. That was then, in the hal-cyon days of the 1960s. Fast-forward to thehere and now, and a panoply of working pa-pers and books on the financial crisis of 2007-09 has since been authored by westerners,

and which generally call for revamped regulation and broadermacroeconomic oversight. The regional bias is understandable: thecrisis was home-grown in the US thanks to dodgy, mortgage-backed financial products.

But the crisis did precipitate a global recession, and there have beenfew Asian perspectives on the developments. Until now. A new book,which contains a bouquet of policy-relevant essays by a leading ana-lyst affiliated with a prominent think-tank in Penang, Malaysia, seeksto address the challenges for Asia. The study is categorical that inboosting domestic consumption as an alternative to exports-ledgrowth, Asian economies should not follow the ‘Anglo-Saxon mod-el of pumping up domestic consumption through debt creation’. Itadds that Malaysia’s Gini coefficient, a measure of income inequality,at 49, is higher than that in the US. Also, 60% of the former’s house-holds earn only about $900 per month. And without increased in-comes and improved income and wealth distribution, merely ‘pump-ing up consumption through debt creation could take it down thesame path as the US,’ it is opined.

The study, which has a forward by Dr Y V Reddy, former RBI gov-ernor, who mentions that it is lucidly written, easy to read and simpleto understand. Next, that it captures current history, context and theway forward. Further, that it elaborates upon financial theory and ‘fo-cuses on policies and institutions rather than abstract thinking or an-ecdotes’. Also, that it offers an emerging market insight, while pre-senting in detail the debates on the subject in the western, particular-ly Anglo-Saxon, world. Dr Reddy has called for supplementing theanalysis in the text with more discussion on economic integration be-tween Japan, China, Southeast Asia and South Asia, in particular In-dia. In sum, the expert view is that the study has several original ele-ments explaining recent developments in financial markets and theattendant policy measures.

For example, there’s much reference in the study to the efficientmarket hypothesis (the idea that asset prices always and everywhere re-flect true value), which it is noted, governed public policies in generaland the stance of key central bankers and regulators in particular. Thehypothesis is seen as the primary cause of the crisis. In the run-up to thecrisis, prominent market participants asserted that ‘interfering withmarket-determined pricing of risks would be a serious policy mistake’.Yet, ‘these same people’, the study mentions, ironically pleaded andprobably lobbied for massive government intervention in the form offiscal stimulus packages, within months of asserting very much to thecontrary, once the crisis struck and there was a virtual credit freeze.

By 2009, the world had pumped in $12 trillion of stimulus pro-grammes to boost growth, and several mature economies in Europehave since opted for budgetary austerity measures and fiscal belt-tight-ening. So, things remain in a state of flux. For a big picture snap-shot,the study dwells at length on the ‘three contested terrains’. It avers thatthe financial crisis should be seen as a contest for hegemony in three ar-eas. At one level, what’s underlined is the continued political and eco-nomic dominance of the international monetary system by the US. Inparallel, there’s the attempt for continued dominance of the financialsector over the real economy. And in tandem, a contest for continua-tion of intellectual dominance by neoliberals and market enthusiasts.

The paper mentions that as the dollar remains the dominant inter-national currency, seigniorage, the ability to print money to pay yourliabilities, confers on the US the ability, in effect, to borrow and repaywithout limits, which is hugely distortionary. The emergence of co-anchor currencies would take time, it is opined. Going forward, poli-cymakers need to draw the right lessons from the great crisis and im-plement meaningful financial sector reforms, both nationally and forcross-border transactions, and not simply tinker with the system, con-cludes the study on a hopeful note.

(Nowhere to Hide, Chapter 6 The Three Contested Terrains, by MichaelLim Mah-Hui, Institute of Southeast Asian Studies, 2010)

Jaideep Mishra

[email protected]

Adequate relaxation in the currentforeign investment policy couldfoster significant opportunities forgrowth and investment in the real estate sector

Real estate sector needs FDI fillip

DEMOGRAPHIC ADVANTAGE

Focus on higher education to leverage

Financialcrisis & Asiandilemmas

States need to improvethe efficiency of

spending on educationand the quality of

teaching at schoolsand universities

AJIT KRISHNANTax Partner, Ernst & Young

ARINDAM

THE ECONOMIC TIMES ON SATURDAY NEW DELHI 25 DECEMBER 2010

Page 41: Regional and urban competitiveness   a case study for india

Percentage  of  factories  in  opera0on    versus  total  number  of  factories  

Jammu  &  Kashmir  

Himachal  Pradesh  

Punjab  Haryana  

Unar  Pradesh  Rajasthan  

Delhi  

Unarakhand  

Bihar  

Orissa  

West  Bengal  

Assam  

Meghalaya  

Tripura  Manipur  

Nagaland  

Jharkhand  

Gujarat  

Maharashtra  

Goa  

Madhya  Pradesh  

Chhalsgarh  

Andhra  Pradesh  

Karnataka  

Kerala  

Tamil  Nadu  

0  

2  

4  

6  

8  

10  

12  

14  

16  

0   5000   10000   15000   20000   25000  

Percen

tage  of  factorie

s  not  in  ope

ra1o

n  

Total  number  of  factories    

All  India  Average  of    4.1%  factories  not  in  opera0on/state    average  

All  India  

All  India  Average  of  6198  Factories/state  

Page 42: Regional and urban competitiveness   a case study for india

Energy  Usage  Sta0s0cs  

Andhra  

Arunachal  Assam  

Bihar  

Chalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  Himachal  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalya  

Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan   Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unaranchal  

West  Bengal  

0  

200  

400  

600  

800  

1000  

1200  

1400  

1600  

1800  

0.00%   5.00%   10.00%   15.00%   20.00%   25.00%   30.00%  

Per  C

apita

 Ene

rgy  Usage  (  Units)  

Energy  Deficit  

 Average  Per  capita  energy  usage  is  564  units.    

Average  Energy  Deficit  is  9.8%  

Page 43: Regional and urban competitiveness   a case study for india

Poverty  and  Rural  Development  

Andhra  

Arunachal  

Assam  Bihar  

Chalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalya  

Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unaranchal  

West  Bengal  

0.00  

200.00  

400.00  

600.00  

800.00  

1000.00  

1200.00  

1400.00  

0   5   10   15   20   25   30   35   40   45   50  

Per  C

apita

 Reven

ue  Expen

ditute  on  Ru

ral  

Developm

ent  

Poverty  Ra1o  –  Number  of  people  in  the  state  of  Poverty/100  People  in  2004-­‐05  in    Rural  areas  

Average  per  capita  rural  expenditure  is  Rs  564    

India’s  poverty  ra0o  in  rural  is  28.3%  

Page 44: Regional and urban competitiveness   a case study for india

The  Compe00veness  Ranking  Assessment  

Ins0tute  for  Compe00veness,  India   44  

Page 45: Regional and urban competitiveness   a case study for india
Page 46: Regional and urban competitiveness   a case study for india

State  Compe00veness  Report  2011  

© Institute for Competitiveness, India

Page 47: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  and  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur    

Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

0   10   20   30   40   50   60   70   80  

Per  cap

ita  state  gross  d

omes1c  produ

ct  at  con

stan

t  price  (Base=99-­‐00)  

Factor  Condi1ons  Index  

All  India  Average  46,836  Rupees/  capita      

All  

India  All  India  Average  

56.33  Index  Points  

Factor  Condi0ons  

Strong  posi0on  

Page 48: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Factor  Condi0ons-­‐    Financial  Condi0ons  

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

0   10   20   30   40   50   60   70   80   90  Financial  Ranking  

All  India  Average  46,836  Rs/  capita      

All  India  

All  India  Average  57.13  Index  Points  

Strong  posi0on  

Per  cap

ita  state  gross  d

omes1c  produ

ct  at  con

stan

t  pric

e    

(Base=99-­‐00)  

Page 49: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Factor  Condi0ons-­‐  Physical  Condi0ons  

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

0   10   20   30   40   50   60   70   80  

Physical  Infrastructure  Index  

Strong  posi0on  in  Energy  Infrastructure  

All  India  Average  23458.24  Million  KWh  

All  India  

All  India  Average  57.14  Index  Points  

Energy  Availability  in  M

illion  KW

h  

Page 50: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Factor  Condi0ons  -­‐  Communica0on  

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Delhi  

Bihar  

Chhalsgarh  

Goa  Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya  Mizoram  Nagaland  

Orissa  

Punjab  

Rajasthan  Sikkim  

Tamil  Nadu  Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

50  

100  

150  

200  

250  

300  

0   20   40   60   80   100   120  

Communica1on  Index  

All  India  Average  72.88  Million  KWh  

All  India  

All  India  Average  57.14  Index  Points  

Wire

less  Pho

nes  (  Per  100  Persons)  

Page 51: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Delhi  

Bihar  Chhalsgarh  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  

Mizoram  Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

50000  

100000  

150000  

200000  

250000  

0   10   20   30   40   50   60  

Administra1ve  Index  

Sub  Pillars  of  Factor  Condi0ons  -­‐  Administra0ve      

All  India  Average  72,807  cognizable  crimes   All  

India  All  India  Average    

51.  75  Index  Points  

Total  num

ber  o

f  cognizable  crim

es  

Page 52: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Factor  Condi0ons-­‐  Human  Capacity    

Andhra  Pradesh  

Himachal  Pradesh  

Meghalaya  

Nagaland  

Unar  Pradesh  

Gujarat  

Arunachal  Pradesh  

Bihar  

Kerala  

Assam  West  Bengal  

Unarakhand  

Jharkhand  Goa  

Tripura  

Delhi  

Punjab  

Manipur  

Madhya  Pradesh   Orissa  

Rajasthan  

Jammu  &  Kashmir  

Tamil  Nadu  

Mizoram  

Haryana  

Maharashtra  

Sikkim  

Karnataka  

Chhalsgarh  

0  

5  

10  

15  

20  

25  

30  

35  

0   10   20   30   40   50   60   70  

All  India  Average  19.1%   Al

l  India  All  India  Average    

57.  14  Index  Points  

Birth  Ra

te  

Human  Capacity  Index  

Page 53: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Madhya  Pradesh  

Manipur  Unarakhand  

Punjab  

Mizoram  

Assam  Karnataka  

Bihar  

Delhi  

Orissa  

Nagaland  

Jharkhand  

Meghalaya  

Rajasthan  Arunachal  Pradesh  

West  Bengal  

Kerala  

Goa  

Unar  Pradesh  

Tripura  

Gujarat  Sikkim  

Chhalsgarh  

Jammu  &  Kashmir  

Haryana  

Tamil  Nadu  

Himachal  Pradesh  Maharashtra  

0  

10  

20  

30  

40  

50  

60  

70  

80  

90  

100  

0   10   20   30   40   50   60   70   80   90  

Literacy  ra

tes  

Innova1on  Index  

All  India  Average  of  77.12  %  

All  Ind

ia  

Average  

57.28  Inde

x  Po

ints  

 All  India  Average  57.14  Index  Points    

Sub  Pillars  of  Factor  Condi0ons  –  Innova0on  Ra0ng        

Page 54: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  and  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

0   20   40   60   80   100   120  

Demand  Condi1ons  Index  

All  India  Average  46,836  Rupees/  capita      

All  

India  All  India  Average  57.14  

Index  Points  

Demand  Condi0ons  

Strong  posi0on  

Per  cap

ita  state  gross  d

omes1c  produ

ct  at  current  Pric

es  

Page 55: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Demand  Condi0ons  –  Demography  

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Delhi  

Bihar  

Chhalsgarh  

Goa  

Gujarat  Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  

Mizoram  

Nagaland  

Orissa   Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  Tripura  

Unar  Pradesh  Unarakhand  

West  Bengal  

-­‐5  

0  

5  

10  

15  

20  

25  

30  

0   10   20   30   40   50   60   70  

Demographic  Index  

All  Ind

ia  

Average  

57.28  

Inde

x  Po

ints  

 All  India  Average  57.14  Index  Points  

All  India  Average  of  17.22%  

Decada

l  growth  ra

te  in  %  te

rms  

Page 56: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Demand  Condi0ons  –    Income  and  Consump0on      

Andhra  Pradesh  

Arunachal  Pradesh   Assam  

Delhi  

Bihar  

Chhalsgarh  

Goa  

Gujarat  Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  Jharkhand  

Karnataka  

Kerala   Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa  Punjab  

Rajasthan  

Sikkim  Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

20  

40  

60  

80  

100  

120  

0   20   40   60   80   100   120  

Percen

tage  of  h

ouses  o

wne

d  

Income  and  Consump1on  Index  

Strong  posi0on  in  housing  Scenario  

All  India  Average  of  88.02%  

All  India  Average  57.14  Index  Points    

Page 57: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  and  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

0   10   20   30   40   50   60   70  

Suppor1ng  Condi1ons  

All  India  Average  46,836  Rupees/  capita      

All  

India  All  India  Average  57.14  

Index  Points  

Suppor0ng  Condi0ons  

Strong  posi0on  

Per  cap

ita  state  gross  d

omes1c  produ

ct  at  C

urrent  Pric

es  

Page 58: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Suppor0ng  Condi0ons  –    Diversity  of  firms      

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  Bihar   Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  Jammu  and  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

5000  

10000  

15000  

20000  

25000  

0   10   20   30   40   50   60   70   80   90  

CI  and  Diversity  of  firms  Index  

All  India  Average  of  6198  Enterprises  

All  

India  

Averag

e  57.28  

Inde

x  Po

ints  

All  India  Average  57.14  Index  Points  

Strong  posi0on  of  Industry  

Total  N

umbe

r  of  E

nterprises  

Page 59: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Suppor0ng  Condi0ons  –  Business  Incen0ves    

Andhra  Pradesh  

Arunachal  Pradesh   Assam  

Delhi   Bihar  

Chhalsgarh  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  Jammu  &  Kashmir  Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya  

Mizoram  Nagaland  

Orissa  

Punjab  Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

100000  

200000  

300000  

400000  

500000  

600000  

700000  

800000  

900000  

0   10   20   30   40   50   60   70   80   90   100  

All  

India  

Averag

e  57.28  

Inde

x  Po

ints  

All  India  Average  57.14  Index  Points  

All  India  Average  of  96878  Crores  

Good  Business  Incen0ves  to  promote  growth  

Business  Incen1ves  Index  

Outstan

ding  Sched

uled

 com

mercial  ban

k  cred

it  in  Rs.  Crore  

Page 60: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  

Bihar  

Chhalsgarh  

Delhi  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  and  Kashmir  

Jharkhand  

Karnataka  Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  

Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

20000  

40000  

60000  

80000  

100000  

120000  

140000  

0   10   20   30   40   50   60   70   80   90  

Per  cap

ita  state  gross  d

omes1c  produ

ct  at  current  

price  

Strategic  Context  Index    

All  India  Average  46,836  Rupees/  capita      

All  

India  All  India  Average  57.14  Index  Points  

Strategic  Context  in  Firms  

Strong  posi0on  

Page 61: Regional and urban competitiveness   a case study for india

Sub  Pillars  of  Strategic  Context  –    Supplier  Sophis0ca0on    

Andhra  Pradesh  

Arunachal  Pradesh  

Assam  Delhi  

Bihar  

Chhalsgarh  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  Jammu  &  Kashmir  

Jharkhand  

Karnataka  

Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya   Mizoram  Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  

Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

200000  

400000  

600000  

800000  

1000000  

1200000  

1400000  

1600000  

0   10   20   30   40   50   60   70   80   90  

Total  num

ber  o

f  Factory  W

orkers  

Supplier  Sophis1ca1on  Index  

All  India  Average  57.14  Index  Points  

All  India  Average  of  3,56,271  factory  workers      

Strong  posi0on  

Page 62: Regional and urban competitiveness   a case study for india

Andhra  Pradesh  

Arunachal  Pradesh  Assam  

Delhi  

Bihar  

Chhalsgarh  

Goa  

Gujarat  

Haryana  

Himachal  Pradesh  

Jammu  &  Kashmir  

Jharkhand  

Karnataka  Kerala  

Madhya  Pradesh  

Maharashtra  

Manipur  Meghalaya  Mizoram  

Nagaland  

Orissa  

Punjab  

Rajasthan  

Sikkim  Tamil  Nadu  

Tripura  

Unar  Pradesh  

Unarakhand  

West  Bengal  

0  

2  

4  

6  

8  

10  

12  

0   10   20   30   40   50   60   70  

Ins1tu1onal  support  Index    

All  

India  

Avera

ge  

57.28  

Inde

x  Po

int

s  

All  India  Average  57.28  Index  Points  

All  India  Average  8.27  Years  

Sub  Pillars  of  Strategic  Context-­‐  Ins0tu0onal  Support  

Strong  posi0on  

Weak  posi0on  

Num

ber  o

f  years  fo

r  closing  a  business  

Page 63: Regional and urban competitiveness   a case study for india

 Thank  You  

Ins1tute   for  Compe11veness   (IFC),   India   is  an   independent,   interna0onal   ini0a0ve  centred   in   India,  dedicated  to  enlarging  and  dissemina0ng  the  body  of  research   and   knowledge   on   compe00on   and   strategy,   pioneered   over   the   last   25   years   by   Professor   M.E.   Porter   of   the   Ins0tute   for   Strategy   and  Compe00veness,  Harvard  Business  School  (ISC,  HBS),  USA.    IFC,  India  works  in  affilia0on  with  ISC,  HBS,  USA  to  offer  academic  &  execu0ve  courses,  conduct  indigenous  research  and  provide  advisory  services  to  corporate  and  Government  within  the  country.  The  ins0tute  studies  compe00on  and  its  implica0ons  for  company   strategy;   the   compe00veness   of   na0ons,   regions  &   ci0es;   suggests   and   provides   solu0ons   for   social   problems.     IFC,   India   brings   out   India   City  Compe00veness  Report,  India  State  Compe00veness  Report,  India  Economic  Quarterly,  Journal  of  Compe00veness  and  funds  academic  research  in  the  area  of  strategy  &  compe00veness.  To  know  more  about  the  ins0tute  write  to  us  at  [email protected].    

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